Mineralogy 231, Volume 12, pages 1-7, 2009 Quartz Polymorphs - Computer Modeling of Phase Transitions and Presence in Shatter Cones ALISTAIR T. HAYDEN, CHRISTINA G. MACHAK Department of Geological Science, University of Michigan, ABSTRACT The accuracy of two functionals, PBE and PW91, was examined in Materials Studio by using them to model stability under pressure for the SiO2 polymorphs quartz, coesite, and stishovite. These functionals computed the enthalpy of each polymorph structure, which was used to determine phase transitions between the polymorphs, which were then compared to empirical values. The PBE functional was found to do a very poor job modeling the polymorphs under pressure while PW91 showed proper trends of phase transitions. Additionally, two thin sections were made from a schist shatter cone, collected from the Santa Fe Impact Structure. Optical and scanning electron microscopy were used to search for evidence of the high-pressure polymorphs coesite and stishovite in these thin sections. Though these high-pressure polymorphs were not found, planar deformation features (PDFs) and shattered quartz were abundant, indicating some pressure-related alteration. centimeter to several meters can be observed with their central axes pointing in the same general direction, probably towards the impact site. Pressures for shatter cone formation have been determined empirically to be in the range of 2-30 Gpa, above that usually associated with metamorphism. Through a comparison of the shocked quartz in samples to empirical data Fackelman and colleagues constrained the pressure for the shatter cone formation in the Santa Fe structure to a range of 5-10 GPa (Fackelman et al., 2008). In addition to macroscopic shock features, microscopic evidence of the shock is also preserved. These microscopic features are called Planar Deformation Features (PDFs) and include shocked quartz and shattered quartz and are found solely within about 2 mm of the shatter surface. Shocked quartz can be indentified using optical microscopy by its parallel laminae, which are decorated with small fluid inclusions (Fig. 1). INTRODUCTION Shatter Cone Geology The Santa Fe Impact Structure, as described by Fackelman et al. (2008), is located approximately 8km northeast of Santa Fe, New Mexico in the southernmost part of the Sangre de Cristo Mountains. The Sangre de Cristo Mountains span from southern Colorado to just southeast of Santa Fe, New Mexico. They are bounded on the east by the Rio Grande Rift and on the west by the High Plains province. The sample examined for this paper was obtained from a road cut exposing the bedrock beneath the supposed ancient impact site. The bedrock containing the impact structure is composed primarily of intrusive igneous and metamorphic rocks. According to Bauer et al. (1997), the metamorphic rocks in the formation are layered, alternating between a quartzofeldspathic unit and an amphibolite unit. The quartzofeldspathic unit is composed of quartz-rich finegrained schist, quartzite, and quartz-feldspar-muscovite gneiss. The sample that generated the thin sections examined in this paper is a dark quartz-rich schist, likely from the quartzofeldspathic unit. The presence of shatter cones is considered strong evidence for a meteorite impact in overlying rock (Wieland et al., 2006). Shatter cones are macroscopic features thought to result from the tensile stress produced by a shock wave propagating through the rock during the early compressional phase after impact. A shatter cone is a conical surface produced by the fracturing of the rock normal to the direction of wave propagation. The fracturing of the rock to create a cone is believed to nucleate at areas of existing heterogeneity in rock (Adachi et al., 2008) and manifests along the surface in a distinct “horse-tail” outward-curving pattern. Throughout an outcrop, many shatter cones ranging in length from a Fig. 1. PDF in Quartz (Fackelman et al., 2008) 1 HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 2 Computational Modeling Various functionals can be used in Materials Studio to model the energy of a crystal. There are two main theories upon which these functionals operate Hartree-Fock and density functional theory (DFT). Both of the functionals used in this project, PW91 and PBE, are derived from DFT, which was developed by Hohenberg, Kohn, and Sham in the 1960s. They determined that the total energy of a structure can be determined from the density of electrons and an unknown functional. Approximations of functionals have been made which produce variable results. Different functionals produce more accurate results for different types of calculations and for different structures, thus the evaluation of functionals is an ongoing process. All functionals based on DFT operate using this general concept, but differ in their exact calculations (Probert 2009). The calculations involved in determining energy for a given structure are beyond the scope of this paper, but a detailed explanation of DFT can be found in a paper by Professor M.C. Payne published in the Review of Modern Physics (1992). data, including enthalpy, for the arrangement. Enthalpies were normalized for the number of SiO2 molecules in the unit cell and plotted against their respective pressures. Trend lines were determined from the enthalpy data of each polymorph and the phase transitions of SiO2 determined from the intersections of the trend lines. Thin Section Preparation From the schist shatter cone, two chips were cut perpendicular to the plane of the shatter surface, one in the horizontal direction and one in the vertical (see Fig. 3) to preserve maximum information about the sample. The thin sections were prepared from these chips by James Hinchcliff and were spatter-coated with carbon (to prepare them for SEM) by Devon Renock. SiO2 Polymorphs Quartz is just one of many SiO2 polymorphs (Fig. 2). Two of the polymorphs, coesite and stishovite, are relevant to the examination of the Santa Fe Impact Structure shatter cones in this paper because they occur at the high pressures and low temperatures of shatter cone formation. Fig. 3. Thin section cuts relative to shatter cone. The cuts were made perpendicular to the surface. Scanning Electron Microscopy We used the scanning electron microscope (SEM) in the University of Michigan Department of Geological Sciences. With help from Devon Renock, the thin sections were imaged with secondary electrons while compositions of grains were determined using energy dispersive spectroscopy. The online Mineralogy Database (Barthelmy) was used as a reference to compare the measured compositions to standard compositions to identify the minerals. Fig. 2. Phase diagram of SiO2 METHODS Computational Analysis All computer work was done in Materials Studio 4.0 and CASTEP. Unit cells were created using data from the American Mineralogist Crystal Structure Database (Downs & Hall-Wallace, 2003) and then subjected to various pressures at 0 K using the PBE and PW91 functionals. The functionals calculated the most stable geometric configuration of the atoms at each pressure and returned RESULTS Computational Analysis A variety of pressures were simulated for each polymorph structure using the PW91 and PBE functionals. The enthalpies, a proxy for stability, increased linearly with pressure for all minerals and functionals. Trend lines fit the data very well, with R2 values of around 0.995 in all cases. Refer to Tables 1 and 2 and to Figures 4 and 5 for data and trends. Because lower enthalpy is taken to mean higher stability, phase transitions occur when trend lines intersect, meaning that one mineral suddenly has lower enthalpy at HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 3 that pressure. The data from the two functionals yielded different approximations of the phase transitions. The model produced from PW91 placed the quartz-coesite transition at 5.02 GPa and the coesite-stishovite transition at 11.97 GPa (Figure 4) while the PBE model placed the quartz-coesite transition at 8.29 GPa and the coesitestishovite transition at 7.66 GPa (Figure 5). Table 1. PW91-calculated enthalpies Quartz Coesite Pressure Enthalpy Enthalpy (GPa) (eV) (eV) 0 -991.127 1 -990.887 2 -990.644 -990.6 3 -990.404 4 -989.966 5 -991.127 -990.0 6 -989.8 7 7.5 8 -989.4 9 -989.117 10 -989.0 11 12 failed 15 failed - Table 2. PBE-calculated enthalpies Quartz Coesite Pressure Enthalpy (eV) (GPa) Enthalpy (eV) 0 -985.20 1 -984.95 2 -984.72 3 -984.48 4 -984.24 5 -984.01 6 -983.79 7 -983.57 8 -983.35 9 -983.14 10 -982.93 -983.002 11 -982.73 -982.801 12 -982.53 -982.602 13 -982.33 -982.405 14 -982.13 -982.208 15 -981.94 -982.014 Stishovite Enthalpy (eV) -990.3 -989.8 -989.6 -989.4 -989.3 -989.2 -989.1 -989 -988.6 -988.2 Stishovite Enthalpy (eV) -983.841 -983.548 -983.106 -982.825 -982.37 Scanning Electron Microscopy From the SEM images (Figures 6-8), nine representative grains were selected that then had their compositions analyzed (Table 3). One grain that resembled much of the sample was determined to be quartz. Four grains representing the other abundant mineral were determined to be muscovite. One apatite grain was analyzed and others were visible in all of the images as small grains. Albite was found in one sizeable grain, but others could not be located. The last two grains analyzed, visible as bright white flecks in the image, were indentified as monazite because of they contained an abundance of rare heavy elements. Table 3. Measured and expected compositions Mineral webmineral.com Measured Composition Composition Quartz Muscovite Apatite Albite Monazite Si O K Al Si H O F Fe Ca P O F Na Ca Al Si O La Ce Th P Nd O 46.74 % 53.26 % 9.81 % 20.30 % 21.13 % 0.46 % 47.35 % 0.95 % 39.74 % 18.43 % 38.07 % 3.77 % 8.30 % 0.76 % 10.77 % 31.50 % 48.66 % 14.46 % 29.17 % 4.83 % 12.89 % 12.01 % 26.64 % 49.63 % 50.37 % 5.06 % 13.48 % 16.54 % 52.48 % 3.25 % 40.42 % 20.18 % 26.63 % 2.76 % 7.25 % 3.11 % 13.02 % 33.26 % 43.36 % 13.05 % 28.56 % 6.34 % 18.32 % 31.58 % HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 4 Fig. 4. Stability graph using PW91 functional Fig. 5. Stability graph using PBE functional HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 5 Optical Microscopy Quartz, biotite, and muscovite are by far the most prevalent minerals and the only easily-identifiable ones. Quartz was identified by transparence in plane-polarized light (ppl), low-order birefringence in cross-polarized light (xpl), and some conchoidal fracturing. The micas were identified by their lamellar nature and their second-order birefringence in xpl. Biotite, which is brown and pleochroic in ppl, stood apart from the transparent muscovite mica and quartz. Coesite and stishovite were not identified despite much searching, though planar deformation features (PDFs) and shattered quartz were found to be common near shatter cone surfaces. Fig. 6. Micrograph showing albite, quartz, muscovite and monazite. Fig. 9. Ppl image of bulk of sample. Quartz is clear and muscovite is clear but with lamellae. Fig. 7. Micrograph showing shatter surface with quartz, muscovite, apatite, and monazite Fig. 10. Xpl image of same bulk of sample. Quartz exhibits first order birefringence while muscovite exhibits the more-colorful second-order birefringence. Fig. 8. Micrograph of quartz, muscovite, and apatite HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 6 Fig. 11. Xpl image of PDFs along shatter surface both elevated temperatures that would require elevated pressures to form coesite and attenuated shock waves that would not reach these requisite pressures. The lack of coesite could also be explained by the difficulty in its identification. Coesite looks very similar to quartz under the microscope because it lacks color, is transparent, displays conchoidal fracturing, and has a low birefringence. It seems the only way to tell the difference between the two is by determining the indicatrix because quartz is unixial (+) while coesite is biaxial (+). In the many interference figures generated for quartz-like grains, none identified definitively as biaxial (+). Stishovite would have been obvious because its optical characteristics, including second-order birefringence, are very different from quartz. Therefore, not finding it probably means it is not present which is to be expected because stishovite requires very high pressures to form. CONCLUDING REMARKS Fig. 12. Xpl image of shattered quartz along shatter surface DISCUSSION Extrapolating from empirically-derived equations down to the 0 K used in the computer simulations, the quartz-coesite transition should occur around 2-3 GPa (Bose & Ganguly, 1995) and the coesite-stishovite transition should occur near 6-8 GPa (Zhang, Li, Utsumi, & Liebermann, 1996). The phase boundary equations for pressure are linear with respect to temperature so this extrapolation is probably fairly accurate. The PW91 functional gave data that predicted the order of phase transitions successfully, though its actual values for the phase transitions were too high by 3-4 GPa. The PBE functional predicted the transitions poorly because it predicted that coesite is never thermodynamically favorable, though the model does have an accurate coesite-stishovite transition at about 8 GPa. Therefore, PW91 might be considered fairly accurate at evaluating SiO2 polymorphs, but PBE is probably not. The lack of high-pressure polymorphs of SiO2 could be due to many things. The presence of shattered and shocked quartz indicates that this sample did indeed undergo a stress event, but the pressure might not have been high enough to create even coesite, especially if the sample was buried deep below the impact site meaning Because all computations were done at 0 K, both sets of data might be made more comparable to experimental data by running the calculations for more realistic temperatures like the elevated temperatures (600 K) used in the empirical experiments. Other work with the functionals of course includes the ongoing search for better functionals and evaluation of existing ones. Samples from this shatter cone outcrop should be searched more thoroughly to see if high-pressure polymorphs exist elsewhere. If they are found to be absent, then this can help to constrain the pressures experienced at this site. If high-pressure polymorphs are found to be lacking at other shatter cones sites as well, this can help guide our hypotheses about their formation. The detection of monazite throughout much of the sample is exciting because the radioactive elements it contains could perhaps be used as a geochronometer to constrain the dates of the impact event. ACKNOWLEDGMENTS Thanks to Rod Ewing for assigning a research project, for without that assignment this would never have happened. A lot of thanks to Devon Renock for helping with every step of the process from beginning to end. Also, thanks to the mystery source of money that allowed us to get thin sections and time on the SEM. REFERENCES CITED Adachi T, Kletetschka G. (2008) Impact-pressure controlled orientation of shatter cone magnetizations in Sierra Madera, Texas, USA. Studia Geophysica Et Geodaetica, 52, 2, 237-54. Web. Barthelmy, D. (2009). Mineralogy Database. Retrieved from http://webmineral.com/ Bose, K., & Ganguly, J. (1995). Quartz-coesite transition revisited: Reversed experimental determination at 500-1200 °C and retrieved thermochemical properties. American Mineralogist, 80, 231-238. Downs, R., & Hall-Wallace, M. (2003). American Mineralogist Crystal Structure Database. Retrieved from http://rruff.geo.arizona.edu/AMS/amcsd.php HAYDEN AND MACHAK: QUARTZ POLYMORPHS AND PHASE TRANSITIONS 7 Payne, M. C., M. P. Teter, D. C. Allen, and T. A. Arias. (1992) Iterative minimization techniques for ab initio total-energy calculations: molecular dynamics and conjugate gradients. 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