Supplemental material for “Size-dependent elasticity of amorphous silica nanowire: a molecular dynamics study” Fenglin Yuan and Liping Huanga) Department of Materials Science and Engineering, Rensselaer Polytechnic Institute, Troy, New York 12180, USA a) Electronic mail: huangL5@rpi.edu 1. Simulation Details All simulations were conducted in the Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS) package (http://lammps.sandia.gov/) using a modified version of van Beest, Kramer, and van Santen (BKS) potential1 with a short range cutoff of 0.55 nm and a long-range Columbic cutoff of 1.0 nm. The Velocity-Verlet algorithm was used for integrating the equations of motion and the Nose-Hoover thermostat2,3 and barostat4 were used to control the system temperature and pressure when necessary. The initial bulk silica liquid was obtained by heating cristobalite silica to 7000 K and equilibrating it for at least 1 ns. This well-equilibrated silica liquid was then used as the common starting point for preparing all three types of nanowires (NWs). The asquenched bulk silica glass sample is 5 nm by 5 nm by 8 nm in size and duplicated three times along the x and y axis for preparing large NWs. Four parallel samples were generated from the high-temperature liquid equilibrated for different amount of time. a) Preparation of Cast NWs 1 For cast NWs, a cylindrical repulsive wall was applied after the bulk liquid was cut into the desired geometry at 7000 K5. The repulsive wall applies a central repulsive force on atoms to prevent the collapse of the system at high temperature. Four parallel cast NWs were prepared for each radius. b) Preparation of Cut NWs The bulk liquid was quenched at a cooling rate of 10 K/ps from 7000 K to 300 K to generate the bulk silica glass. The bulk silica glass was then cut into cylindrical shapes with different radii and followed by 1 ns relaxation to allow for the surface relaxation and reconstruction. Four parallel samples for the bulk silica glass were prepared and correspondingly four parallel cut NWs were obtained for each radius. c) Preparation of Cut-Strained NWs After relaxation to reduce the surface energy and the total energy, cut NWs in equilibrium shrank with respect to the stress-free bulk counterpart. They were then stretched slowly along the axial direction to recover the original length cut from the bulk silica glass, followed by 1 ns relaxation to obtain the cut-strained NWs. The same number of cut-strained NWs was obtained from the cut NWs. 2. Computation of Nanowire Radius An accumulative number density distribution (ANDD) method was developed to estimate the cross-section area of a nanowire in order to compute the uniaxial stress and subsequently the Young’s modulus accurately. The ANDD method is based on the idea 2 that the effective cross section area of a nanowire is equal to a circular cross section with certain radius. The specific procedures are listed below: 1) For each nanowire, we first divide the nanowire along the axial length into multiple sections, given that each section is thick enough (e.g., at least 1 nm in thickness). 2) For each section, we find the central axis by averaging over all atoms’ x and y coordinates in this section (z-axis is the axial direction). 3) For each section, we calculate each atom’s distance from the central axis and bin atoms according to the distance by a well-chosen bin-size dr to obtain the number density distribution function f(r). 4) For each section, we then plot the accumulative number density distribution function H(r) vs. r2 curve by integrating f(r) for all bins that are within certain distance r. 5) For each section, we fit the H(r) vs. r2 curve to a linear function and make sure the non-linear part is excluded from the fitting process. 6) From the linear fitting, we can calculate the slope to be 1/R2, where R is the estimated radius for this section. 7) Repeat steps 2)6) for each section and average over all sections to get a final estimated radius for the nanowire. 8) One example for a cut nanowire with a radius of 2 nm is given here to illustrate how the method works. Before relaxation, as shown by red circles in Fig. S1(a), H(r) vs. r2 is a perfect linear line and the slope indicates a radius of 2 nm. However, after relaxation, due to the surface relaxation, the slope gradually changes to zero, as indicated by blue squares. A linear region for the relaxed nanowire is shown by the black line in Fig. S1(a). Depending on the range of data (the cutoff fraction in H(r)) 3 used for the linear fitting, the computed radius changes slightly as seen in Fig. S1(b). We set the cutoff fraction to be 0.90, the nanowire radius can be estimated to be 1.96 nm in this case. 4 FIG. S1. (a) H(r) versus r2 for a cut nanowire before and after relaxation (notes: only the linear region is used for fitting shown as the black line), (b) the computed nanowire radius as a function of the cutoff fraction. 3. Computation of Zero-strain Young’s Modulus of Nanowire In order to obtain a good estimate of the zero-strain Young’s modulus, the strain range from which it is extracted should be small enough considering the strong nonlinearity effect in silica glass6. We conducted a tension test within 00.5% uniaxial strain and a compression test within -0.50% uniaxial strain. Then the uniaxial stress vs. strain curve was fitted linearly within the -0.5%0.5% strain range to calculate the zerostrain Young’s modulus. Error bars were obtained from four parallel samples. 4. Eigenstress Elasticity Model in Nanowire FIG. S2. Two-step relaxation for a nanowire cut from a stress-free bulk sample. The derivation of the eigenstress model in nanowire similar to Zhang et al.’s work on thin film7 can be divided into two parts: a) description of the after-cutting relaxation b) description of linear response to external loading. For part a), following Zhang et al.’s 5 approach7, we separate the relaxation process into radial and parallel relaxations as seen in Fig. S2. In the radial relaxation, the nanowire is only allowed to relax along the radial direction under a fixed axial length. After the radial relaxation, the radial dimension changes from 2 R0 to 2 R=2 (R0+R), meaning the surface has a radial displacement of R (could be positive or negative depending on the nanonwire is expanded or contracted after the radial relaxation). After the radial and parallel relaxation, the nanowire with original dimensions of 2 R0 by L0 cut from a stress-free bulk sample changes into 2 Rini by Lini, with Lini=L0+L and 2 Rini=2 (R0+R+R), where R is due to the Poisson’s ratio effect. The contracting strain after relaxation can be defined by L0 and Lini: C ln(Lini / L0 ), (S.1) The total energy of the nanowire can be expressed as: UL UR WS WC , (S.2) where UR is the total energy after the radial relaxation, WS and WC are the work done by the surface and the core during the parallel relaxation, respectively. Since WS Lini ( S 2 R)dL, (S.3) R 2 )dL, (S.4) L0 and WC Lini ( C L0 where R is the radius of the nanowire, S is the surface stress (N/m) and C is the core stress (N/m2). At equilibrium, the force must be self-balanced, such that: 6 F U L |L Lini 0, L (S.5) so we can obtain ( C R 2 S ) |L Lini 0, (S.6) Cini R ini 2 Sini 0, (S.7) i.e., The above analysis shows that after relaxation to minimize the surface energy and the total energy, a free-standing nanowire subjected to no external loads is at equilibrium and deformed with respect to its stress-free bulk counterpart. For part b), if we apply a small external load to the equilibrated nanowire, the nominal Young’s modulus Ya can be defined by Ya a , a (S.8) where a is the applied stress and a is the strain. The force at any applied strain can be derived by following the same procedure as for the parallel relaxation: F C R 2 2 S R, (S.9) then the stress is: F / ( R 2 ) C 2 S / R, (S.10) For small deformation, the core stress C and the surface stress S under an applied strain a can be written as: C Cini YCa* a , (S.11) S Sini YSa* a , (S.12) and 7 where YCa* and YSa* are the Young’s modulus of the core and surface, respectively, at the initial state (after the parallel relaxation). Then the nominal Young’s modulus can be derived from Eqns. S.812 as: Ya a ( C 2 S / R) YCa* 2 YSa* / R, a a (S.13) Furthermore, by taking into account of the nonlinear elasticity in both the core and the surface, we can express YCa* and YSa* with respect to the state after the radial relaxation: YCa* YC* 2 YC1* C 3 YC2* C 2 , (S.14) YSa* YS* 2 YS1* C 3 YS2* C 2 , (S.15) and where C is the contract strain along the axial direction after the parallel relaxation. YC2* and YS2* are needed in S.14 and S.15, because measurements using high strength silica fibers at high strains show that Young’s modulus of silica glass initially increases with tensile strain, reaches a maximum then decreases at higher strains8. By combining Eqns. S.13S.15, we finally can obtain: Y a YC* 2 YC1* C 3 YC2* C 2 2 (YS* 2 YS1* C 3 YS2* C 2 ) / R. (S.16) 8 FIG. S3. Young’s modulus versus the inverse of the radius in (a) cut-strained and (b) cast amorphous silica NWs. 9 FIG. S4. Fraction of 4-fold coordinated Si in cast, cut, cut-strained amorphous silica NWs (the bulk limit is shown as dashed line for comparison). 10 FIG. S5. Ring size distribution in (a) cut and (b) cast amorphous silica NWs in comparison with that in bulk silica glass. 11 FIG. S6. Two (blue) and three-membered ring center (red) distribution in cut (left) and cast (right) nanowire of 5 nm in radius. 12 FIG. S7. Angle between the plane normal of two membered ring and the radial direction of (a) cut and (b) cast nanowire of 5 nm in radius. 13 FIG. S8. Density profile in cut and cast nanowire of 5 nm in radius (the bulk limit is shown as dashed line for comparison). 14 FIG. S9. Dependence of density on the radius of nanowire (the bulk limit is shown as dashed line for comparison). 15 FIG. S10. Young’s modulus versus density for amorphous silica NWs and bulk silica sample. References: 1 K. Vollmayr, W. Kob, and K. Binder, Phys. Rev. B 54, 15808 (1996). S. Nose, Mol. Phys. 52, 255 (1984). 3 S. Nose, J. Chem. Phys. 81, 511 (1984). 4 W. Shinoda, M. Shiga, and M. Mikami, Phys. Rev. B 69, 134103 (2004). 5 F. Yuan and L. Huang, J. Non-Cryst. Solids 358, 3481 (2012). 6 P.K. Gupta and C.R. Kurkjian, J. Non-Cryst. Solids 351, 2324 (2005). 7 T.-Y. Zhang, Z.-J. Wang, and W.-K. Chan, Phys. Rev. B 81, 195427 (2010). 8 J. Krause, L. Testardi, and R. Thurston, Phys. Chem. Glasses 20, 135 (1979). 2 16