Carolyn L. Phillips, Ph.D.
Affiliations: | University of Michigan, Ann Arbor, Ann Arbor, MI |
Area:
Glass transition, Self-Assembly, Materials ModelingGoogle:
"Carolyn Phillips"Mean distance: 12.5 | S | N | B | C | P |
Parents
Sign in to add mentor| Sharon C. Glotzer | grad student | 2012 | University of Michigan | |
| (Self Assembly Problems of Anisotropic Particles in Soft Matter.) | ||||
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Publications
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| Dshemuchadse J, Damasceno PF, Phillips CL, et al. (2021) Moving beyond the constraints of chemistry via crystal structure discovery with isotropic multiwell pair potentials. Proceedings of the National Academy of Sciences of the United States of America. 118 |
| Long AW, Phillips CL, Jankowksi E, et al. (2016) Nonlinear machine learning and design of reconfigurable digital colloids. Soft Matter |
| Dshemuchadse J, Engel M, Damasceno PF, et al. (2016) Computational self-assembly of complex crystals Acta Crystallographica Section a Foundations and Advances. 72: s94-s94 |
| Engel M, Damasceno PF, Phillips CL, et al. (2015) Computational self-assembly of a one-component icosahedral quasicrystal. Nature Materials. 14: 109-16 |
| Phillips CL, Jankowski E, Krishnatreya BJ, et al. (2014) Digital colloids: reconfigurable clusters as high information density elements. Soft Matter. 10: 7468-79 |
| Marson RL, Phillips CL, Anderson JA, et al. (2014) Phase behavior and complex crystal structures of self-assembled tethered nanoparticle telechelics. Nano Letters. 14: 2071-8 |
| Engel M, Damasceno P, Phillips C, et al. (2014) Computational prediction of an icosahedral quasicrystal Acta Crystallographica Section a Foundations and Advances. 70: C890-C890 |
| Phillips CL, Anderson JA, Glotzer SC. (2014) Molecular dynamics models of shaped particles using filling solutions Physics Procedia. 53: 75-81 |
| Phillips CL. (2014) A learning heuristic for space mapping and searching self-organizing systems using adaptive mesh refinement Journal of Computational Physics. 272: 799-813 |
| Phillips CL, Voth GA. (2013) Discovering crystals using shape matching and machine learning Soft Matter. 9: 8552-8568 |