pubs.acs.org/JPCA Article Rovibrational-Specific QCT and Master Equation Study on N2(X1Σ+g) + O(3P) and NO(X2Π) + N(4S) Systems in High-Energy Collisions Sung Min Jo, Simone Venturi, Maitreyee P. Sharma, Alessandro Munafo,̀ and Marco Panesi* Cite This: J. Phys. Chem. A 2022, 126, 3273−3290 Downloaded via MARQUETTE UNIV on October 10, 2023 at 00:35:20 (UTC). See https://pubs.acs.org/sharingguidelines for options on how to legitimately share published articles. ACCESS Read Online Metrics & More Article Recommendations sı Supporting Information * ABSTRACT: This work presents a detailed investigation of the energy-transfer and dissociation mechanisms in N2(X1Σ+g ) + O(3P) and NO(X2Π) + N(4S) systems using rovibrational-specific quasiclassical trajectory (QCT) and master equation analyses. The complete set of state-to-state kinetic data, obtained via QCT, allows for an in-depth investigation of the Zel’dovich mechanism leading to the formation of NO molecules at microscopic and macroscopic scales. The master equation analysis demonstrates that the low-lying vibrational states of N2 and NO have dominant contributions to the NO formation and the corresponding extinction of N2 through the exchange process. For the considered temperature range, it is found that nearly 50% of the dissociation processes for N2 and NO molecules occur in the quasi-steady-state (QSS) regime, while for the Zel’dovich reaction, the distribution of the reactants does not reach the QSS conditions. Furthermore, using the QSS approximation to model the Zel’dovich mechanism leads to overestimating NO production by more than a factor of 4 in the high-temperature range. The breakdown of this well-known approximation has profound consequences for the approaches that heavily rely on the validity of QSS assumption in hypersonic applications. Finally, the investigation of the rovibrational state population dynamics reveals substantial similarities among different chemical systems for the energy-transfer and the dissociation processes, providing promising physical foundations for the use of reduced-order strategies in other chemical systems without significant loss of accuracy. 1. INTRODUCTION In hypersonic flows, the formation and extinction of nitric oxide (NO) are important since this chemical species emits strong ultraviolet radiation inside shock layers. One of the most well-known reaction pathways contributing to NO formation in high-temperature air is the following heterogeneous exchange process (i.e., Zel’dovich reaction) N2 + O → NO + N In addition to the Zel’dovich mechanism (1), collisional energy-transfer and dissociation processes of individual collision pairs in the N2O system (i.e., N2 + O and NO + N) are also relevant in developing a reliable thermochemical nonequilibrium model for high-temperature air. Regarding the N2O system, previous theoretical studies2−11 have been carried out by means of ab initio potential energy surface (PES) constructions followed by quasiclassical trajectory (QCT) calculations for particular chemical reaction channels. Each of the PESs developed by Bose and Candler2 and Gamallo et al.3 (1) Due to the fast dissociation of diatomic oxygen (O2), collisions between molecular nitrogen (N2) and atomic oxygen (O) control NO formation through reaction 1. The existing studies1,2 found that the above reaction predominantly occurs through the lowest triplet surfaces 3A′ and 3A″ in the hypersonic flow regime, provided that the nonadiabatic transitions and spin−orbit coupling are neglected. This implies that the colliding species (e.g., N2 and O) remain in their electronic ground states after the collision. © 2022 American Chemical Society Received: December 6, 2021 Revised: April 26, 2022 Published: May 23, 2022 3273 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article O(3P) and NO(X2Π) + N(4S) systems and exclude all other collisional transition pathways, such as N2(X1Σ+g ) + N(4S), N2(X1Σ+g ) + N2(X1Σ+g ), and NO(X2Π) + NO(X2Π). This paper is organized as follows: the related PESs, the constructed StS kinetic database, the system of master equations, and the assessment strategy of order reduction technique for the Zel’dovich mechanism are discussed in Section 2. In Section 3, the results of the investigation are presented and it is divided into four subsections: Section 3.1 investigates the internal energy-transfer processes, and Section 3.2 focuses on the analysis of the dissociation−recombination dynamics. Section 3.3 provides a detailed investigation on the mechanism of the Zel’dovich reaction. In Section 3.4, the present macroscopic rate coefficients are compared with the existing data from the literature. Finally, Section 4 provides the conclusions from the present work. was employed to compute thermal rate coefficients for the Zel’dovich reaction (1). Luo et al.4 computed the same quantity along with the thermal dissociation rate coefficient in N2+O collisions by relying on the PESs from Gamallo et al.3 Denis-Alpizar et al.5 proposed global PESs by representing their ab initio points with a reproducing kernel Hilbert space (RKHS) scheme. Based on those PESs,5 Koner et al.6 developed a QCT-based state-to-state model for the reverse process of eq 1, followed by neural network-based coarse-grain models proposed by Arnold et al.7,8 Koner et al.9 also improved the accuracy of the PESs of Denis-Alpizar et al.5 using more number of ab initio points having better accuracy. Lin et al.10,11 constructed global PESs that cover a wide range of reactive configurations, and they numerically investigated the reactive trajectories for the Zel’dovich mechanism (1). The aforementioned studies2,5,9−11 focused on specific portions of the reaction dynamics that can occur on the N2O surfaces, instead of the overall energy-transfer and dissociation mechanisms. In addition, to the authors’ best knowledge, no detailed state-to-state (StS) master equation analysis has been carried out for the N2O system. This inhibits a deeper understanding of the nonequilibrium chemical kinetics in hightemperature air. By means of rovibrational StS master equation analyses, it is possible to investigate detailed chemical-kinetic processes in terms of rovibrational state population dynamics, which provide a crucial component to the development of reducedorder models. In particular, the study of rovibrational distributions from the N 2 (X 1 Σ g+ ) + N( 4 S) 12−14 and O2(X3Σ−g ) + O(3P)15 systems has inspired various coarsegraining strategies15−18 for model reduction in nonequilibrium chemistry. Although those approaches were developed based on strong physical foundations and refused ad hoc assumptions, they have been only tested for N2(X1Σ+g ) + N(4S),16−18 N2(X1Σ+g ) + N2(X1Σ+g ),19,20 O2(X3Σ−g ) + O(3P),15 CO(1Σ+) + O(3P),21 and CO2(X1Σ+g ) + M22 (M denotes inert species) chemical systems. This aspect motivates a systematic comparative investigation of the similarities among different chemical systems and the general applicability of the coarsegraining strategies, with the ultimate goal of constructing a comprehensive reduced-order approach for high-temperature air. Toward this end, the present study proposes a detailed investigation of the rovibrational energy-transfer and dissociation processes in the complete N2O molecular system by means of QCT and master equation analyses. A complete set of rovibrational-specific rate coefficients, including the inelastic, dissociation, and homogeneous and heterogeneous exchange processes, are calculated in a wide range of kinetic temperatures. Then, they are employed to integrate a set of master equations for an ideal chemical reactor problem. Macroscopic quantities, such as the quasi-steady-state (QSS) reaction rate coefficient and the internal energy relaxation time, are evaluated using the rovibrational population distributions to compare with existing data. The similarity of internal energy transfer and dissociation among different chemical systems is investigated by comparing the rovibrational population dynamics. The present master equation analysis also aims to understand the mechanism of the Zel’dovich reaction (1) on the microscopic scale and to assess the validity of the QSS approximation in modeling that chemical reaction. To achieve the aforementioned purposes, we pinpoint our investigation on the reaction channels existing in and between the N2(X1Σ+g ) + 2. PHYSICAL MODELING 2.1. Potential Energy Surfaces for N2O. One of the earliest kinetic studies for the Zel’dovich reaction was carried out by Bose and Candler2 using the ab initio data from Walch et al.1 and Gilibert et al.,23 which were computed from a low level of theory, complete active space self-consistent field/ contracted configuration interaction (CASSCF/CCI) method. These ab initio points1,23 were only computed in selected portions of the surface. Gamallo et al.3 developed the PESs using second-order perturbation theory on a complete active space self-consistent-field wave function, CASPT2 method. As a downside, the CASPT2 method makes the PESs less reliable for studying dissociation reactions. Furthermore, it was found in later studies5,9,10 that the 3A′ surface has additional transition states and local minima that were not accounted for in the PES by Gamallo et al.3 Accurate consideration of the stationary points is important since they directly affect the reaction pathways of the system being studied. The PESs developed by Lin et al.,10 Denis-Alpizar et al.,5 and Koner et al.9 use ab initio points computed at the multireference configuration interaction (MRCI) and MRCI with Davidson’s correction (MRCI + Q) level of theory, thereby making them more suitable to study the high-energy collisions of the N2O system. Lin et al.10 used MRCI energies, which were improved using the dynamically scaled external correlation method, and the multibody component of the PES was then fitted using permutationally invariant polynomials in mixed exponentialGaussian bond order variables. Denis-Alpizar et al.5 and Koner et al.9 employed the MRCI + Q energies fitted using the RKHS scheme. For the purpose of the present study, the PESs developed by Lin et al.10 are used. The principal reason for using these PESs is that the range of geometries used in constructing the analytical surface is adequate to accurately study both energy transfer and dissociation, except for some regions in the exothermic exchange channel, NO + N → N2 + O. The PESs are particularly favorable for representing the highly endothermic forward exchange reaction (1), for which the two reaction pathways on the 3A′ surface and the one on the 3 A″ surface are characterized by accurately described stationary points. The reverse reaction, NO + N → N2 + O, is barrierless on the 3A″ surface and has a barrier (≈10.5 kcal/mol) on the 3 A′ surface, making it an exothermic reaction. It is worth mentioning that the PESs by Lin et al.10 are limited in their accuracy in studying such an exothermic reverse exchange 3274 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA reaction, NO + N → N2 + O, since they do not have a complete representation of the weak long-range interactions in the NO + N channel. Albeit, as will be shown later in Section 3.4, in the temperature range of interest to this work, these PESs10 are able to provide a good representation of the energytransfer and dissociation−recombination reactions. 2.2. State-to-State Kinetic Database. In this work, the following collisional energy-transfer and dissociation−recombination processes are considered by assuming that all components remain in their electronic ground state: • Rovibrational excitation and de-excitation through inelastic and homogeneous exchange converged and appropriate to study the kinetic processes relevant to the N2O system. As discussed in Section 2.1, the 3A′ and 3A″ surfaces are relevant to the transition between N2(X1Σ+g ) + O(3P) and NO(X2Π) + N(4S). Transitions through other surfaces, such as second 3A″, 5A′, and 5A″, result in electronically excited products, which are out of the present scope. In the construction of the present StS kinetic database, 1/3 degeneracy is considered for the transition from N2 + O collisions through each of the two triplet PESs, whereas 3/16 degeneracy is applied for the NO + N interaction to consider the statistical weight of the electronic state.9 Figure 1 shows the distributions of the energy-transfer rate coefficients in N2 + O and NO + N systems at 10 000 K. The kiNO →j NO(i) + N Xooo Y NO(j) + N NO kj→i Article (2) 2 kmN→ l N2(m) + O Xoooo Y N2(l) + O N kl →2m (3) • Rovibrational dissociation and recombination kiNO →c NO(i) + N Xooo YN+O+N NO kc → i (4) 2 kmN→ c N2(m) + O Xoooo YN+N+O N kc →2 m (5) • Rovibrational energy transfer through the Zel’dovich mechanism kiE→,NO m NO(i) + N Xooooo Y N2(m) + O E ,N km → i2 (6) In eqs 2−6, the k symbol stands for the rate coefficient for the considered process. The index pairs (i, j) and (m, l) denote the rovibrational states of NO and N2, respectively. These internal levels are stored by increasing energy in the sets 0NO and 0N2 . To each rovibrational state, there corresponds a unique vibrational (v) and rotational (J) quantum number (e.g., i = i(v, J)). The subscript c (i.e., continuum) refers to the dissociated state. Rovibrational state data (e.g., energy levels) are obtained by solving Schrödinger’s equation based on the WKB semiclassical approximation.24,25 As a result of these calculations, N2 has 9093 levels with vmax = 53, whereas NO has 6739 levels with vmax = 45, including both bound and quasibound states. To compute the rovibrational-specific StS rate coefficients, QCT calculations are carried out using COARSEAIR,15,26 an inhouse QCT code that is a modernized version of the original VVTC code developed at NASA Ames Research Center by Schwenke.25 The StS kinetic database constructed here covers the temperature range of 2500−20000 K. For a particular initial collision pair, 50 000 trajectories are simulated for the T up to 5000 K, whereas 30 000 trajectories are employed for the higher T. For a given trajectory, the maximum iteration time was set to 4 × 105 au with an initial time step of 5 au. The impact parameter was determined based on the stratified sampling with a minimum batch size of 0.25 Å. The level of statistical convergence according to the variation of the number of trajectories is presented in Figures S1 and S2 for selected inelastic transitions at 5000 K. Those figures verify that the present QCT calculations are statistically well Figure 1. Distributions of the energy-transfer rate coefficients in N2 + O (top) and NO + N (bottom) at T= 10 000 K overlayed on the effective diatomic potentials. The gray dots indicate that the rate coefficients corresponding to those final rovibrational levels are below a cutoff value. The black dots represent the initial states. rate coefficients are overlayed on the effective diatomic potentials. For N2 + O, the inelastic component is shown, whereas, for NO + N, the summation of inelastic and homogeneous exchange rate coefficients is presented. For both systems, the energy transfer occurs with the highest probability to the rovibrational states right next to the initial one (i.e., the black dots). In the low-lying states, most of the transitions occur within the same vibrational strands, whereas the transition pathways are spread across different vibrational levels in the high-lying states. It is interesting to note that the transition patterns for the energy transfer in Figure 1 are significantly similar to each other, although they refer to different chemical systems. 2.3. Master Equations. The StS kinetic database constructed and discussed in Section 2.2 has been used to perform a rovibrational master equation analysis of N2(X1Σ+g ) + O(3P) and NO(X2Π) + N(4S) interactions. The system of equations used for this purpose describes the evolution of the various chemical species as a result of inelastic, exchange, and dissociation processes and reads 3275 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA N2 dni = ωi̇ I − dt ∑ ωi̇ E,m,NO − ωi̇ D dnm = ωṁ I + dt coarse-graining the dissociation pathways, and it is employed here to investigate the accuracy of the existing reduced-order models15−17,19,30 in describing the Zel’dovich mechanism. For the grouped internal states, the following collisional heterogeneous exchange process is analyzed (7) m NO ∑ ωi̇ E,m,NO − ωṁ D (8) i NO NO(p) + N ↔ N2(q) + O, dnN = dt ∑ ωi̇ D + 2 ∑ ωṁ D − ∑ ∑ ωi̇ E,m,NO i i NO N2 i m where p and q denote the grouped states of NO and N2, respectively. For the p-th and q-th groups/bins, the equation governing the time rate of change of the grouped population is obtained by summing the master equations over the states within each group (i.e., zeroth-order moment) (9) m NO N2 i (10) m where nX denotes the number density of the X species/level and t identifies time. The mass production rates for excitation, ω̇ I, Zel’dovich reaction, ω̇ E, and dissociation, ω̇ D, are evaluated based on the zeroth-order reaction rate theory.27,28 Their expressions are provided in Appendix A. The master equations (eqs 7−10) are numerically integrated using PLATO (PLAsmas in Thermodynamic nonequilibrium),29 a library for nonequilibrium plasmas developed within The Center for Hypersonics and Entry System Studies (CHESS) at the University of Illinois at Urbana-Champaign. In solving the master equations using the kinetic database in Section 2.2, the exothermic rate coefficients are used as a reference for the inelastic and homogeneous exchange processes, while the endothermic ones are reconstructed based on the microreversibility. For the Zel’dovich mechanism, however, the endothermic rate coefficient (i.e., for N2 + O → NO + N) is employed, while the reverse rate coefficients are reconstructed. This is due to the fact that the reverse rate coefficients have a higher level of uncertainty (see Figure 15b for more details). The global rate coefficients can be computed over the time domain from the microscopic state-specific rate coefficients and the rovibrational population distributions. The forward and backward global heterogeneous exchange rate coefficients corresponding to eq 6 are defined as 1 E ,NO = k̃ nNO N2 NO ∑∑ m dnp dt ,NO E ,N2 = −kpE→ q npnN + kq → p nqnO ,NO kpE→ q = ∑∑ i ∑ ∑ m ∈ 0 qN2 kqE→,Np2 = p ,NO kiE→,NO m -i i ∈ 0NO p ∑ ∑ m ∈ 0 qN2 (15) ,N2 q ,N2 kmE→ i- m i ∈ 0NO p (16) 2 where - ip,NO and - q,N m are, respectively, the prescribed internal distribution functions within groups p and q. Here, for simplicity, they are taken as thermal equilibrium (i.e., Maxwell−Boltzmann) distributions at the local translational temperature T ( ) =n, n g exp(− ) e gi exp − k Ti - ip ,NO = i B ∑i ∈ 0NO p ei kBT i i ∈ 0NO p p ( ) =n , n g exp(− ) (17) e nikiE→,NO m , m ∈ 0N2, i ∈ 0NO - q ,N2 m gm exp − k mT m B = ∑m ∈ 0 N2 i NO N2 (14) The grouped Zel’dovich reaction rates kp → qE, NO and kq → pE,N2 are defined as q (11) k̃ q ∈ 0N2 (13) ∑ ωi̇ D + ∑ ∑ ωi̇ E,m,NO 1 = n N2 p ∈ 0NO, NO N2 dnO = dt E ,N2 Article m em kBT m ∈ 0 qN2 q (18) ,N2 nmkmE→ i, m ∈ 0N2, i ∈ 0NO where em and gm denote the internal energy and degeneracy of m-th state, and kB stands for the Boltzmann constant. The form of gm can be found in eq 35 in Appendix A. The multiplication of both sides of eq 14 by - ip,NO leads to m (12) At equilibrium, eqs 11 and 12 become the thermal heterogeneous exchange rate coefficients as the internal states follow a Maxwell−Boltzmann distribution. The global dissociation rate coefficients of NO and N2 are defined following the previous work by Panesi et al.12 2.4. Assessment of Reduced-Order Modeling for the Zel’dovich Mechanism. A previous study by Venturi et al.15 proposed an encoding−decoding strategy for assessing the accuracy of reduced-order models in representing a particular channel of the rovibrational-specific kinetics. The approach was based on comparing the results of fully StS simulations with those obtained from master equation studies in which the state-specific rate coefficients for the channel of interest were first grouped and then reconstructed, while all of the coefficients for the remaining processes were kept at the StS level. The strategy was there adopted to analyze the effects of dni ,NO E ,N2 p ,NO = −kpE→ , q ninN + kq → p nqnO - i dt i ∈ 0NO p (19) In eq 19, np is replaced by ni by invoking the local equilibrium relation (17). Similarly, the group number density nq can be transformed to the rovibrational-specific one, nm, via multi2 plication by - q,N m , which gives - qm,N2 dni ,NO q ,N2 E ,N2 p ,NO = −kpE→ nmnO , q - m ninN + kq → p - i dt i ∈ 0NO p , m ∈ 0 qN2 (20) From eq 20, the grouped-reconstructed Zel’dovich reaction E,N2 rate coefficients k̅E,NO i→m and k̅m→i can be defined as follows 3276 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A ki̅ → m E ,NO ,NO q ,N2 =kpE→ q -m , E ,N =kqE→,Np2 - ip ,NO, km̅ → i2 , i ∈ 0NO p m ∈ 0 qN2 pubs.acs.org/JPCA Article (21) This means that the grouped-reconstructed rate coefficient can be obtained from the respective grouped rate coefficient by weighting it based on the final state’s contribution to its group partition function. 2 By spanning eq 20 over m for fixed i, the - q,N in the leftm hand side goes to that based on the local equilibrium relation (18). Finally, the time rate of change of rovibrational-specific population, dni/dt, can be denoted using the groupedreconstructed Zel’dovich reaction rate coefficients as follows dni E ,NO E ,N = − ki̅ → m ninN + km̅ → i2nmnO , dt i ∈ 0NO p , m ∈ 0 qN2 (22) Figure 2. Temporal evolution of rotational and vibrational temperatures of N2 and NO at different heat-bath temperatures (dissociation and Zel’dovich mechanisms excluded). Equation 22 allows us to investigate the performance and effectiveness of reduced-order methods in reproducing the heterogeneous exchange dynamics, as the remaining excitation and dissociation channels are treated rovibrational-specifically. The corresponding results are presented and discussed in Section 3.3. increases, the vibrational and rotational relaxation profiles for the two molecules get closer to each other. For in-depth interpretation of the similar structure of the internal energy transfer among the different chemical systems, observed in Figure 2, the rovibrational distributions for the three chemical systems, N2 + N, N2 + O, and NO + N, are compared against each other in Figure 3. The comparison is made at TV = 2240 K, in which 20% of vibrational relaxation is completed. It is worth mentioning that the rovibrational rate coefficients for N2+N are taken from the previous work by 3. RESULTS In this section, master equation simulations, conducted for a wide range of initial and heat-bath conditions, are analyzed and discussed in detail. Macroscopic quantities such as global rate coefficients, relaxation times, and chemistry-energy coupling parameters are calculated from the zeroth- and first-order moments of the rovibrational population distributions. Also, particular attention is devoted to investigating similarities in the population dynamics among different chemical systems and the effect of the Zel’dovich reaction on internal energy transfer at both state-specific and macroscopic levels. In the analysis to be presented, the chemical compositions are initialized to have 50% of diatomic target species and 50% of atomic colliding particles unless they are explicitly mentioned. The initial gas pressure and internal temperature are set to 1000 Pa and 300 K, respectively. The above initial conditions are utilized in all simulations unless otherwise stated. As per the heat-bath temperatures, the values of 2500, 5000, 7500, 10 000, 15 000, and 20 000 K are considered. 3.1. Energy-Transfer Processes in Isolated Systems. In this section, energy transfer by the inelastic and homogeneous exchange in N2 + O and NO + N systems is studied in detail by neglecting dissociation and Zel’dovich mechanisms. As a result, there is no interaction between the two chemical systems. Figure 2 shows the temporal evolution of the extracted rotational (TR) and vibrational (TV) temperatures of N2 and NO at the three distinct heat-bath temperatures. The overall structure of evolution of the internal (i.e., rotational and vibrational) temperatures is similar for both molecules: at the lowest temperature, vibrational relaxation is much slower compared to rotational relaxation, whereas at higher temperatures, the two processes occur at comparable time scales. At lower temperatures, the vibrational relaxation rates are significantly different while the rotational relaxation rates are close for the two molecules. However, as the temperature Figure 3. Rovibrational distributions in N2 + N (top), N2+O (middle), and NO + N (bottom) systems at TV = 2240 K, in which 20% of vibrational relaxation completed at T = 10 000 K (dissociation and Zel’dovich mechanisms excluded). The distributions are colored by the vibrational quantum number. 3277 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Panesi et al.12 Overall, the rovibrational distributions have similar structures even though they stem from different chemical systems. This fact is justified by the similarities between the energy-transfer rate coefficients, shown in Figure 1. The internal energy transfer of the diatomic species is mostly governed by the behavior of the low-lying energy states, which have a strand-like structure during the early stage of energy transfer.12,17 The inset figures highlight the common existence of vibration-specific strands in the low-lying energy states and the similarity among the three chemical systems. This implies the possibility of applying the existing reduced-order method for energy transfer by Sahai et al.,17 originally tested on the N2 + N interactions, to other chemical systems without a significant loss of accuracy. One of the prevalent ways of describing energy transfer in hypersonic environments is via the Landau−Teller model,31 which requires specifying a relaxation time τ for the kinetic process being considered. The value of τ can affect the behavior of thermal energy relaxation in the nonequilibrium region of hypersonic shock layers. Figure 4 compares the rotational (pτRT) and vibrational (pτVT) relaxation times of the N2 + O and NO + N systems as a function of the kinetic temperature. Here, p denotes the partial pressure of the colliding atomic species. In the present study, the relaxation time is evaluated based on the e-folding method. To the best of the authors’ knowledge, there is no available experimental data for rotational and vibrational relaxation times for both chemical systems. Thus, the comparison is performed against existing theoretical models.32−35 For both chemical systems, the correlation-based model by Millikan and White,32 later modified by Park for hightemperature effects,33 shows a strong departure from the values computed here. For N2 + O, the temperature dependence of pτVT from the present result is different from those of the previous studies,32−34 especially below 5000 K. For NO + N, the temperature dependence of the present result is similar to those of existing studies,32−34 although the absolute value of the present pτVT is larger by a factor of 5. As per rotational relaxation, the present results are in disagreement with the Parker model35 by around a factor of 3 for the NO + N system. In the Parker model, the rotational relaxation time was derived by classical mechanics using the rigid-rotor model that cannot account for the effect of a permanent dipole in diatom−atom systems.35,36 Consistent with the temperature evolution of Figure 2, the rotational and vibrational relaxation times of both chemical systems converge to a common asymptote as the heat-bath temperature increases. The asymptote of the rotational and vibrational relaxation times at the high-temperature range was also observed in the previous studies of the N2 + N system.12,37 In those references, the asymptote was justified by the presence of the homogeneous exchange reaction. However, it is also observed here for the N2 + O system, in which a homogeneous exchange process does not occur. The relaxation times obtained from the present master equation analyses are curve-fitted and labeled as present (fit) in the figure. The form and parameters of the curve-fit are summarized in Appendix B. 3.2. Dissociation/Recombination Processes in Isolated Systems. In this section, dissociation and recombination processes in N2 + O and NO + N systems are investigated by disregarding the Zel’dovich mechanism. Hence, the two systems evolve independently as in the previous section. Article Figure 4. Comparison of predicted rotational and vibrational relaxation times with existing theoretical models:32−35 (a) N2 + O and (b) NO + N (dissociation and Zel’dovich mechanisms excluded). Figure 5 shows the temporal evolution of the average rotational (ER) and vibrational (EV) energies of N2 and NO at three different kinetic temperatures, T. In the present study, the average rotational and vibrational energies of N2 are correspondingly defined as N E R,N2 = ∑m2 er(m)nm N ∑m2 nm (23) N E V,N2 = ∑m2 e v(m)nm N ∑m2 nm (24) where er(m) and ev(m) are the rotational and vibrational energies of the given rovibrational state m, respectively. The plateau of the energy curves indicates the QSS periods of each 3278 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article shown in Figure 2, the energy evolution trends of N2 and NO are close to each other, while NO represents the faster onset of the QSS period than N2 due to the lower dissociation limit and the faster internal energy transfers within NO. Furthermore, since N2 has a larger bonding energy than NO, the QSS period of N2 is longer than that of NO. The comparison among the internal state population distributions from the different chemical systems, shown in Figure 3, is re-examined here for the dissociation and recombination processes. In Figure 6, a comparison of the internal energy state population distributions is presented for the N2 + N, N2 + O, and NO + N systems during the QSS period. The main figures (i.e., those on the left side) are colored by the vibrational quantum number v, while the subfigures (i.e., those on the right side) are colored by the state-specific energy deficit from the centrifugal barrier. In the present study, the energy deficit of N 2 and NO is correspondingly defined as15 Figure 5. Average rotational and vibrational energy distributions of N2 and NO at the three different kinetic temperatures (Zel’dovich mechanism excluded). The arrows indicate the molecular QSS periods in cases where the plateau regime is not explicitly shown. The solid arrow indicates the N2 QSS, while the dashed one denotes the NO QSS. N2 emD = V max (J ) − em (25) NO eiD = Vmax (J ) − ei (26) 2 VNmax (J) where and VNO max(J) denote the maximum values of the effective diatomic potential at the given rotational state J of N2 and NO, respectively. As observed from the v contours, the vibrational states, which are in the high-lying energy region around the dissociation limit, are not in equilibrium with each other. This indicates that the collisional dissociation processes are not governed by a vibration-specific dynamics. On the other hand, the subfigures clearly show that the equilibrium distributions of the high-lying energy states are highly correlated with the levels’ energy deficit. This is in line with the previous study by Venturi et al.15 regarding the O2 + O species. As discussed in the following paragraphs, most of the dissociation occurs during the QSS periods. The following evolution from the plateau to the equilibrium state is governed by the recombination processes. From the figure, it is noted that the time scale of NO recombination is faster than that of N2 over T = 10 000 K. Similar to the energy-transfer processes, Figure 6. Rovibrational distributions in N2 + N (top), N2 + O (middle), and NO + N (bottom) systems in the midst of the QSS region at T = 10 000 K (Zel’dovich mechanism excluded). The distributions are colored by the vibrational quantum number v and the energy deficit eD. 3279 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article was defined by summing up and normalizing the ω̇ D at a given time step with the total amount of chemical production rate due to dissociation and recombination. It needs to be noted that the initial species mole fractions for the heat-bath simulations are different from each other to investigate the two different isolated chemical systems. For the dissociation of N2 by N2 + O collisions, about 70% of the dissociation takes place during the QSS period of N2, as shown in Figure 7a. On the other hand, about 50% of NO dissociation occurs within the QSS period. For NO + N, three different reaction channels exist for the dissociation due to the possibility of the homogeneous and heterogeneous exchanges prior to the dissociation. This aspect degrades the validity of the QSS assumption for NO dissociation, as shown in Figure 7b. The contribution of the exchanged pairs to dissociation leads to about 10% difference in the amount of dissociation taking place in the QSS period. It needs to be noted that the levels of influence from the heterogeneous and the homogeneous exchanged pairs are close to each other. The influence of the exchange pair on the dissociation of NO shown in Figure 7b is consistently observed at T = 5000 and 20 000 K as well (see Figure S3). In Figure 8, the internal energy loss ratio due to the dissociation, CD, is presented as a function of T. The definition system, and it is another evidence of the existence of similarity among different chemical systems, especially for the collisional dissociation process. In multidimensional hypersonic flow-field simulations, one of the most popular strategies to model the collisional chemical production rates ω̇ is to employ the macroscopic QSS rate coefficient by assuming that the participating species are in the QSS region.30 The rovibrational-specific master equation analysis performed in the present study allows us to evaluate the actual amount of chemical reactions taking place during the QSS periods of the participating species and to verify the QSS assumption for the chemical reaction modeling. In this section, it is performed for the collisional dissociation processes in the isolated chemical systems, while the complete chemical system including the Zel’dovich mechanism is investigated in Section 3.3. Figure 7 shows the time-cumulative chemical production rate distributions for the dissociation and recombination processes at T = 10 000 K, together with the global dissociation rate coefficients. The time-cumulative quantity Figure 8. Rotational and vibrational energy loss ratios due to the dissociation as a function of kinetic temperatures (Zel’dovich mechanism excluded). of CD is taken from the previous study by Panesi et al.,12 and the quantity is defined at the mid-point of the species QSS periods. The vibrational energy loss ratios are very similar between N2 and NO, provided that the NO + N system has both the inelastic and homogeneous exchange processes. On the other hand, the NO dissociation has a larger portion of rotational energy loss than N2, especially in the high T range. A part of this trend is attributed to the existence of the homogeneous exchange reaction in the NO + N system. This fact accelerates the thermalization among the vibrational states, resulting in more populated high-lying J levels (see Figure S4). Without the homogeneous exchange, the rotational energy loss ratio of NO becomes closer to that of N2, whereas the Figure 7. Time-cumulative chemical production and global dissociation rate distributions at T = 10 000 K (Zel’dovich mechanism excluded). The solid lines indicate the chemical production rates, while the dashed lines represent the global dissociation rate coefficients. The shaded regions indicate the QSS periods of diatomic species. (a) N2 + O and (b) NO + N. 3280 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article whereas the extinction of NO is mostly controlled by the dissociation of NO rather than the exchange kinetics into N2. The mechanism of NO formation is worth to be explored in detail since NO is a strongly radiating species in a hypersonic flow regime, and it has an important role in high-temperature combustion and related air pollution study. Figure 10 provides the rovibrationally resolved heterogeneous exchange production rates relevant to N2 extinction and NO production. The reported quantity was computed from the result of the master equation study at T = 10 000 K and t = 4 × 10−7 s of Figure 9 in the sense that T = 10 000 K is a representative condition of interest to hypersonic applications. The time t = 4 × 10−7 s was chosen to analyze the NO formation mechanism. The statespecific N2 extinction and NO formation rates are correspondingly defined by summing up and normalizing eq 31 as follows vibrational energy loss shifts to lower values with a certain amount of offset due to the less population of high-lying v states. As T increases, the rotational and vibrational energy loss ratios move in the opposite direction. This is because the contribution from the internal states characterized by lower v and higher J becomes dominant as T increases. It is interesting to note that, for both N2 and NO, the vibrational energy loss ratios CDV are rather different from the previously estimated value of 0.3 using the SSH theory38 in the present considered temperature range. 3.3. Zel’dovich Mechanism. In this section, the results of master equation analyses are presented by considering the complete set of chemical-kinetic processes (eqs 2−6). This allows us to investigate the role of the collisional heterogeneous exchange process (eq 6) through the forward and backward Zel’dovich mechanisms in the internal energy transfers of the N2 + O and NO + N systems and to characterize the NO formation and extinction. For this purpose, the set of master equations from eqs 7 to 10 are integrated, and none of the individual components are set to zero in this case. In total, approximately an order of 108 kinetic processes is considered for solving the set of master equations in the considered temperature range. Figure 9 shows the temporal evolution of species mole fractions χ at the three different kinetic temperatures T. As T NO N Ω̇m2 = 100 × ∑i N NO ∑m2 ∑i ωi̇ E, m,NO ωi̇ E, m,NO (27) N NO Ω̇i = − 100 × ∑m2 ωi̇ E, m,NO N NO ∑m2 ∑i ωi̇ E, m,NO (28) Figure 10a indicates that the low-lying states of N2 around v = 0 and J = 65 have major contributions to the conversion into NO during the NO formation phase. Similarly, the NO production occurs with the predominant influence from the low-lying states near v = 0 and J = 45, as shown in Figure 10b. After the conversion of N2 into the low-lying states of NO, the inelastic and homogeneous exchange by the NO + N collision governs the ladder-climbing excitation process to the highlying energy levels. Figure 11 shows the time-cumulative chemical production rate distributions by the Zel’dovich mechanism at T = 5000, 10 000, and 20 000 K. It is important to note that the red lines indicate the limiting boundaries of the variation of chemical reactions. At a given temperature and pressure, the master equation results for different initial sets of mole fractions fall within the cyan region in Figure 11, provided that the mole fraction ratio of the target molecules and colliding atoms is one. As shown in the figures, almost all of the Zel’dovich processes occur outside the molecular QSS periods of the considered temperature range. This implies that the QSS assumption is an inadequate approximation for the Zel’dovich reaction N2 + O ↔ NO + N. In addition, the feasibility of the QSS assumption further deteriorates as more NO exist at the initial condition. Since the majority of the Zel’dovich reaction occurs outside of the molecular QSS regime, this process requires further investigations to better understand which processes contribute to QSS. To this aim, we analyze the contribution of dissociation to the Zel’dovich mechanism. This is based on the fact that the previous studies12,37 have revealed that the dissociation predominantly promotes the formation of QSS. Figure 12 compares the global rate coefficient for N2 + O → NO + N and the corresponding rovibrational distributions with and without dissociation. The definition of k̃E,N2 can be found in eq 12. As shown in Figure 12a, the global rate coefficient without the dissociation does not have the plateau region (i.e., from t = 6 × 10−6 s to t = 4 × 10−4 s for the black solid line). This means that the system does not reach the QSS period if the dissociation process is not considered, as supported by the rovibrational distribution shown in Figure Figure 9. Species mole fraction distributions at T = 7500 K (dasheddotted lines), 10 000 K (solid lines), and 20 000 K (dashed lines). The species initial mole fractions are set to χN2 = χO = 0.5. increases, the level of NO formation increases due to the larger contribution from the Zel’dovich mechanism. In the early stages, nearly until the peaks of χNO, the mole fraction profiles of the diatomic species are aligned together with their atomic collision partners because the collisional heterogeneous exchange actively occurs prior to the onset of the molecular QSS (see Figure 11 for more details). Once most of the heterogeneous exchange reaction occurs, the mole fractions of each collision pair are split into two branches. This fact indicates that the dissociation starts to control the overall chemical reactions. It is interesting to note that the formation of NO is governed by the heterogeneous exchange from N2, 3281 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article Figure 10. Percentage distributions of the heterogeneous exchange production rates at t = 4 × 10−7 s of T = 10 000 K in Figure 9. The empty gray dots indicate that the production rate is below or above a cutoff value. (a) N2 extinction rate with a cutoff value above −0.01% and (b) NO production rate with a cutoff value below 0.02%. value. Given the fact that the majority of multidimensional hypersonic CFD codes employ QSS rate coefficients to model the Zel’dovich reaction, the results in Figures 11−13 imply that further investigation on the reliability of such an approximation is required, as it was found to be not valid for the exchange process. The accuracy of the QSS-approximated modeling for the Zel’dovich reaction can be investigated by comparing it with the fully StS results. For this purpose, the groupedreconstructed method in eq 22 is employed to integrate the set of master equations with several reduced-order models, including the QSS approximation for the heterogeneous exchange process. Figure 14 shows the NO mole fraction distributions for the fully StS (i.e., rovibrational state-specific) and the grouped-reconstructed methods for the Zel’dovich mechanism. As the grouped-reconstructed methods, the vibration-specific (VS),16 the energy-based group (energy),19 the adaptive coarse-graining (adaptive),17 and a hybrid model of the adaptive17 and the energy deficit-based15 group methods are employed together with the QSS model. It should be mentioned that all of the reduced-order models employed here 12b. At the same time instant, the case without dissociation already reaches the thermal equilibrium, whereas the rovibrational states are aligned as the QSS distribution in the case with dissociation. The result in Figure 12 is clear evidence of the breakdown of the QSS assumption for modeling the chemical reaction by the Zel’dovich mechanism (1) and that the QSS period is primarily controlled by the dissociation process. Results for a similar investigation for T = 5000 and 20 000 K can be found in Figures S5 and S6. As observed in Figures 11 and 12, the QSS approximation breaks down for the Zel’dovich mechanism. This requires further investigation since the accurate prediction of NO formation and extinction through the exchange process plays an important role in nonequilibrium hypersonic flow and radiation modeling.39,40 Figure 13 shows the evolution of the global Zel’dovich reaction rate coefficient k̃E,N2 and NO mole fraction at the three different T. In the considered temperature range, the peak of χNO occurs before the onset of the molecular QSS periods. Moreover, at the time instants at which the NO formation starts to be relevant, the magnitude of k̃E,N2 is between 3 and 7 times smaller than the corresponding QSS 3282 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article Figure 11. Time-cumulative chemical production rate distributions for the heterogeneous exchange process NO + N ↔ N2 + O. The magenta- and gray-shaded regions indicate the QSS periods of N2 and NO, respectively. The cyan-shaded areas represent the region where the chemical reaction occurs: (a) T = 5000 K, (b) T = 10 000 K, and (c) T = 20 000 K. The red lines indicate the two different limiting cases of initial mole fractions. The figures share the plot legend. Figure 12. Comparisons of (a) the global rate coefficient for N2 + O → NO + N and (b) the corresponding rovibrational distributions of N2 at t = 4 × 10−5 s at T = 10 000 K with and without dissociation kinetics. The initial mole fraction is set to χN2 = χO = 0.5. 3283 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article 20 000 K. In the comparison, the QSS rate coefficient is not presented due to the following two reasons: (1) it is almost identical with the thermal rate coefficient, as shown in Figure 13, and (2) the QSS assumption is not valid for the heterogeneous exchange, as discussed in Figures 11 and 12. It is worth mentioning that the present thermal rate coefficients shown in Figure 15 were computed from the QCT rate coefficients corresponding to each chemical system. In detail, the QCT result for N2 + O → NO + N was employed to calculate the thermal rate coefficient shown in Figure 15a, whereas the QCT results for NO + N → N2 + O were used to obtain the results in Figure 15b. This enables the comparison of QCT-based rate coefficients, obtained from the different PESs,2−5,9 with the experimental data for both forward and backward directions of the Zel’dovich reaction N2 + O ↔ NO + N. As shown in Figure 15a, the present thermal heterogeneous exchange rate coefficient is in reasonable agreement with the existing experimental41−43 and theoretical3,4,9 data. At temperatures over 5000 K, the present result agrees with the thermal rate coefficients by Bose and Candler,2 Luo et al.,4 and Koner et al.,9 whereas a departure is observed for the semiempirically determined value by Park.30 Below 5000 K, the present result is close to the data by Gamallo et al.,3 and it is within the range of experimental error.41−43 As shown in Figure 15b, the heterogeneous exchange rates for NO + N → N2 + O range within a factor of 4. The discrepancy between the present and the existing QCT-based results3,5,9 implies the uncertainty of the global triplet PESs for predicting the heterogeneous exchange kinetics through the highly exothermic reactive channel, NO + N → N2 + O. From the comparison between the present rate and that using the PESs by Denis-Alpizar et al.,5,6 it is worth mentioning that the macroscopic thermal rates from the different PESs can be in good agreement, even though the relevant microscopic transition probabilities represent a certain discrepancy (see Figure S7). This possibly implies an uncertainty of the corresponding region on the PESs. The present result is enveloped by the existing QCT-based results;3,5,9 however, it shows a certain discrepancy against the measurements by Davidson and Hanson, 44 obtained from a resonance absorption spectrophotometry for N in a shock tube. The fidelity of the present rovibrational-specific QCT rate coefficients and the employed triplet PESs10 is further validated by comparing the macroscopic equilibrium constant for the N2 + O ↔ NO + N reaction with the existing data9,47 and the exact values obtained based on the partition functions. Figure 16 shows the equilibrium constants along the considered kinetic temperature range. For the sake of consistency with the present QCT result, the effect of excited electronic states is neglected when computing the exact equilibrium constant (i.e., green dashed line). The present QCT-based equilibrium constant, obtained from the ratio of the thermal QCT rate coefficients in Figure 15, is in good agreement with the exact value and the literature data.9,47,48 Figure 17 compares the present dissociation rate coefficients with the existing data.4,9,33,37,43,47−58 For both chemical systems, the QSS rate coefficients have slightly lower values than the equilibrium ones, which is consistent with the results obtained for the N2 + N12,37 and O2 + O59 systems. For the N2 + O system, the measured N2 + N dissociation rate coefficients49−52 are employed in the comparison due to the lack of experimental data for the N2 + O system. The present Figure 13. Time evolution of the global rate coefficient for N2 + O → NO + N (solid lines) and the corresponding NO mole fractions (dashed lines) at T = 5000, 10 000, and 20 000 K. The empty dots point out the middle of the N2 QSS region. The initial mole fraction was set to χN2 = χO = 0.5. are based on the idea of clustering the levels in groups. Levels in the same group are assumed in local equilibrium between each other. What differentiates the reduced-order models is (1) the number of groups. The QSS model has one single group, while the remaining ones have a number of clusters equal to the amount of distinct vibrational states in the molecule. (2) The strategy adopted for clustering the levels. The macroscopic QSS rate coefficient obtained from the master equation analysis (e.g., the empty dots in Figure 13) is utilized to construct the QSS-assumption-based groupedreconstructed rate coefficients in eq 21. It should be noted that the other kinetic processes, except for the Zel’dovich reaction, remain in the resolution of fully StS for all of the grouped-reconstructed computations. In the considered temperature range, the QSS method overpredicts the level of χNO, especially in the NO formation phase and the peak value. In hypersonic nonequilibrium flow-radiation computations, the predictive accuracy on the population of electronic groundstate NO affects the calculation of the radiative emission profile by NO bands, which strongly contribute to the radiative heat flux. As a consequence, the overestimation of the NO mole fraction by the QSS method could cause overprediction of the NO emission profile. The remaining groupedreconstructed calculations reasonably reproduce the fully StS profiles, except for the VS model at T = 20 000 K. Among the different grouping strategies, the energy-based group and the hybrid approach present better accuracy than the others. The results shown in Figure 14 imply that the existing reducedorder models15−17,19 can be employed for a better description of the collisional heterogeneous exchange process of N2 + O ↔ NO + N, instead of the QSS approximation.30 3.4. Comparison of Reaction Rate Coefficients. In this section, the macroscopic reaction rate coefficients, obtained from the present QCT and master equation analyses, are compared with existing data. Figure 15 compares the present heterogeneous exchange rate coefficients with data in the literature2−5,9,30,41−46 for temperatures ranging from 2500 to 3284 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article Figure 14. Distributions of NO mole fraction (left). The ratio of NO mole fractions by the grouped-reconstructed methods to the fully StS approach (right). The left and right figures share the plot legend. (a) T = 5000 K, (b) T = 10 000 K, and (c) T = 20 000 K. As initial mole fractions, χN2 = χO = 0.5 is considered. 3285 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article Figure 16. Comparison of the macroscopic equilibrium constant KE for N2 + O ↔ NO + N. equilibrium rate coefficient is in good agreement with the previous QCT results for N2 + O by Luo et al.4 and Koner et al.,9 although the employed PESs are different. Some discrepancies appear when comparing with the data by Park,33 especially below 10 000 K. This is most probably due to the fact that the data by Park were estimated from the measurements of N2 + N.49−51 To perform comparisons for the NO + N system, measurements for NO + Ar43,53−56 are considered due to the lack of experimental data for dissociation in NO + N interactions. The overall spread of the measured NO + Ar dissociation rate coefficients43,53−56 is around 4 orders of magnitude. Interestingly, the QSS rate coefficient computed here is in very good agreement with the measurements by Wray et al.,54 Thielen et al.,43 and the review data by Tsang and Herron.58 On the other hand, the suggested value by Park33,47 for computing hypersonic shock layers is 2 orders of magnitude larger than the present calculations. In the recent study by Kim and Jo,34 it was found that the NO dissociation rate coefficient critically affects the prediction of nonequilibrium air radiation for earth re-entry conditions. Their study employed the NO + Ar dissociation rate coefficient recommended by Tsang and Herron58 as dissociation rates for NO + N and NO + O, instead of the Park value.33,47 This fact improved the accuracy of the nonequilibrium radiation prediction, and the measured NO radiation bands60 were better reproduced. These findings are in line with the present QCT-based dissociation rate coefficient calculations for the NO+N system shown in Figure 17b. Figure 15. Comparisons of the heterogeneous exchange rate coefficients with the existing experimental41−44 and theoretical2−5,9,30,45,46 data: (a) N2 + O → NO + N and (b) NO + N → N2 + O. calculations predict lower values than the measured ones for both QSS and equilibrium. Interestingly, the present QSS dissociation rate coefficients in N2 + O interactions are close to those for N2 + N.37,57 This seems to confirm the possible similarity in physical behavior among different chemical systems that have been discussed in detail in Sections 3.1 and 3.2. In Figure S8, the PES cuts for N2 O and N3 are provided around one of the local minima locations of N2 O 3 A′. The similar locations and depths of the local minima between the two different chemical systems can support the close dissociation rates shown in Figure 17a since the dissociation of diatomic species in the considered systems is characterized by the diatomic potential and interactions with a drifting atom that can be depicted by the geometry of local minima. In the considered temperature range, the present 4. CONCLUSIONS This work has performed the rovibrational-specific QCT and master equation analysis of the kinetics of N2(X1Σ+g ) + O(3P) and NO(X2Π) + N(4S) systems at conditions of interest to hypersonic applications. The complete sets of the StS kinetic database on the N2O system allow the investigation of detailed chemical-kinetic processes, including the Zel’dovich mechanism, at both microscopic and macroscopic scales. The phenomenological rate coefficients for the Zel’dovich and dissociation reactions derived in this analysis agree with 3286 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A pubs.acs.org/JPCA Article models for air chemistry. It is also found that the formation of NO and the corresponding extinction of N2 through the Zel’dovich mechanism are dominated by the low-lying vibrational states. Furthermore, the distribution of the N2 molecules does not reach any QSS conditions without dissociation. These findings demonstrate the invalidity of the QSS approximation widely adopted when modeling the chemical reactions in hypersonic flow simulations. A coarsegrained description of the Zel’dovich reaction is proposed to overcome the limitation of the QSS approach. This allows us to accurately describe the details of the thermochemical relaxation and the concentration profiles driven by the exchange process. ■ APPENDIX ÅÄÅ ÑÉÑ Å 1 ÑÑ n − ni ÑÑÑÑnN I j ÑÑ ÅÅÅÇ K i , j ÑÖ A. Mass Production Rates NO I ω̇i = ∑ j ω̇mI N2 = ∑ l ω̇iE, m,NO = ÅÅ kiNO ÅÅ →j Å ÄÅ ÉÑ ÅÅ 1 ÑÑ Ñ nl − nmÑÑÑnO I ÑÑ ÅÅÇ K m , l ÑÖ Å 2 Å kmN→ lÅ ÅÅ ÅÄÅ Å ÅÅ kiE→,NO m Å ÅÅninN ÄÅ Å ÅÅÇ ÑÉÑ 1 ÑÑ − E nmnOÑÑÑ ÑÑ Ki,m ÑÖ ÉÑ ÑÑ 1 − D nNnOÑÑÑÑnN ÅÅÅ ÑÑÑ Ki Ç Ö ω̇i = ÅÅ Åni kiNO → cÅ Å ω̇mD Å 2 Å Ånm kmN→ cÅ Å D = (29) ÅÄÅ ÅÅÅ Ç (30) (31) (32) ÑÉ 1 2 ÑÑÑÑ − D nN ÑÑnO K m ÑÑÑÖ (33) ,where K stands for the equilibrium constant of a particular collisional process to evaluate reverse rate coefficients by invoking the microreversibility. For the collisional excitation process between m-th and l-th states of N2, the equilibrium constant KIm,l is defined as Figure 17. Comparisons of the dissociation rate coefficients with the existing experimental43,49−56 and theoretical4,33,37,47,57,58 data: (a) N2 + O → 2N + O and (b) NO + N → 2N + O. ( ) exp(− ) e K mI , l available data from the literature. In contrast, marked differences are observed when comparing the results of the ab initio calculations with the widely adopted reaction rate coefficients (i.e., the Park model). The relaxation rate parameters describing rovibrational energy transfer demonstrate the inadequacy of the correlation formulas often used in practical applications. Comparing the dynamics of relaxation among the N2 + O, NO + N, and N2 + N systems, investigated in detail by examining the time evolution of their rovibrational state population dynamics, reveals important similarities in the evolution of their kinetics. The three systems show a similar strand-like structure of the low-lying rovibrational states and similar evolution of the internal energy (i.e., energy-transferchemistry coupling) during dissociation. This is an important finding as it facilitates the construction of reduced-order = gl exp − k lT B gm em kBT (34) The degeneracy of the level, gm, can be denoted as N2 gm = geN2gnuc (2J(m) + 1) (35) with ge and gnuc being the electronic ground and the nuclear spin degeneracy, respectively. J(m) is the rotational quantum number of the m-th state. For N2(X1Σ+g ), gnuc is correspondingly set to 6 and 3 for the even and odd J states, respectively. For NO(X2Π), gnuc is equal to 3. For the collisional heterogeneous exchange process between i-th and m-th states of NO and N2, the equilibrium constant KEi,m is expressed as 3287 https://doi.org/10.1021/acs.jpca.1c10346 J. Phys. Chem. A 2022, 126, 3273−3290 The Journal of Physical Chemistry A K iE, m = e eO B B ■ ( ) ( ) g exp(− )Q g Q gm exp − k mT Q tN2geOexp − k T Q tO ei kBT NO N t e K mD = (geNQ tN)2 gmQ tN2 AUTHOR INFORMATION Marco Panesi − Center for Hypersonics and Entry Systems Studies (CHESS), University of Illinois at UrbanaChampaign, Urbana, Illinois 61801, United States; orcid.org/0000-0002-8650-081X; Email: mpanesi@ illinois.edu ij E ND − em yz zz expjjjj− 2 z j kBT zz k { Authors Sung Min Jo − Center for Hypersonics and Entry Systems Studies (CHESS), University of Illinois at UrbanaChampaign, Urbana, Illinois 61801, United States; orcid.org/0000-0001-6687-0867 Simone Venturi − Center for Hypersonics and Entry Systems Studies (CHESS), University of Illinois at UrbanaChampaign, Urbana, Illinois 61801, United States Maitreyee P. Sharma − Center for Hypersonics and Entry Systems Studies (CHESS), University of Illinois at UrbanaChampaign, Urbana, Illinois 61801, United States Alessandro Munafò − Center for Hypersonics and Entry Systems Studies (CHESS), University of Illinois at UrbanaChampaign, Urbana, Illinois 61801, United States (37) B. Curve-Fit of Relaxation Times The forms of curve-fitted vibrational and rotational relaxation times can be defined as τV T = τMW + τc (38) pτRT = exp(A r T−1/3 + Br ) Complete contact information is available at: https://pubs.acs.org/10.1021/acs.jpca.1c10346 (39) Notes where τMW and τc denote the Millikan−White and hightemperature correction terms, respectively. They can be expressed as 101325 exp(A v (T −1/3 − Bv ) − 18.42) τMW = p (40) The authors declare no competing financial interest. The rovibrational-specific database of ab initio rate coefficients for the N2O system that supports the findings of this work is openly available at https://www.chess.aerospace.illinois.edu/ databases.61 ■ ij 8kBT yzz zz τc = jjjjnsσv z π m r (41) k { In the equations, ns and mr are the number density of the target species and reduced mass of collision pairs, respectively. The forms of curve-fit in eqs 38−41 are selected since they have been widely adopted by several hypersonic CFD codes. Av, Bv, σv, Ar, and Br are the curve-fit parameters for the pτVT and pτRT. They are computed from the present master equation analysis and are summarized in Table B1. The curve-fit is valid for temperatures ranging from 2500 to 20 000 K. −1 ACKNOWLEDGMENTS This work was supported by ONR Grant No. N00014-21-12475 with Dr. Eric Marineau as the Program Manager. The authors would like to thank Dr. R. L. Jaffe (NASA AMES Research Center) for the useful discussions about QCT calculations. ■ type of collision Av Bv σv [m2] Ar Br N2 + O NO + N 250.0 77.5 0.0432 0.0205 5.5 × 10−25T0.95 6 × 10−21T0.05 −51.1 −46.9 −15.3 −15.1 REFERENCES (1) Walch, S. P.; Jaffe, R. L. Calculated potential surfaces for the reactions: O+N2 ← NO+N and N2 +O ← NO +O. J. Chem. Phys. 1987, 86, 6946−6956. (2) Bose, D.; Candler, G. V. Thermal rate constants of the N2 +O → NO +N reaction using ab initio 3A″ and 3A′ potential energy surfaces. J. Chem. Phys. 1996, 104, 2825−2833. (3) Gamallo, P.; Gonzàlez, M.; Sayòs, R. Ab initio derived analytical fits of the two lowest triplet potential energy surfaces and theoretical rate constants for the N(4S)+NO(X2Π) system. J. Chem. Phys. 2003, 119, 2545−2556. (4) Luo, H.; Kulakhmetov, M.; Alexeenko, A. Ab initio state-specific N2+O dissociation and exchange modeling for molecular simulations. J. Chem. Phys. 2017, 146, 074303. (5) Denis-Alpizar, O.; Bemish, R. J.; Meuwly, M. Reactive collisions for NO(2Π)+ N(4S) at temperatures relevant to the hypersonic flight regime. Phys. Chem. Chem. Phys. 2017, 19, 2392−2401. (6) Koner, D.; Unke, O. T.; Boe, K.; Bemish, R. J.; Meuwly, M. Exhaustive state-to-state cross sections for reactive molecular collisions from importance sampling simulation and a neural network representation. J. Chem. Phys. 2019, 150, 211101. (7) Arnold, J.; Koner, D.; Käser, S.; Singh, N.; Bemish, R. J.; Meuwly, M. Machine Learning for Observables: Reactant to Product State Distributions for Atom-Diatom Collisions. J. Phys. Chem. A 2020, 124, 7177−7190. Table B1. Curve-Fit Parameters for pτVT and pτRT ■ Article Corresponding Author N t D D ji E NO − E N2 zyz zz expjjjj− zz j kBT (36) k { D where Qt is the translational partition function, and E is the species average dissociation energy. geN and geO are the electronic degeneracy of N and O at their ground states including the nuclear degeneration, respectively. 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