Maximilian Amsler
Affiliations: | Cornell University, Ithaca, NY, United States |
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Parents
Sign in to add mentor| Robert B. van Dover | grad student | (Physics Tree) | |
| Stefan Goedecker | grad student | 2009-2012 | University of Basel |
| Roald Hoffmann | post-doc | Cornell | |
| Cyrus Umrigar | post-doc | Cornell (Physics Tree) | |
| Chris Wolverton | post-doc | Northwestern | |
| Ulrich Aschauer | post-doc | 2019-2021 | University of Bern |
Children
Sign in to add trainee| Moloud Kaviani | grad student | ||
| Senja Ramakers | grad student | ||
| Johannes Selisko | grad student |
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Publications
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| Goesten MG, Xia Y, Aschauer U, et al. (2022) Conformational Gap Control in CsTaS. Journal of the American Chemical Society |
| Boeri L, Hennig RG, Hirschfeld PJ, et al. (2021) The 2021 Room-Temperature Superconductivity Roadmap. Journal of Physics. Condensed Matter : An Institute of Physics Journal |
| Saha S, Di Cataldo S, Amsler M, et al. (2020) High-temperature conventional superconductivity in the boron-carbon system: Material trends Physical Review B. 102 |
| Amsler M, Rostami S, Tahmasbi H, et al. (2020) FLAME: A library of atomistic modeling environments Computer Physics Communications. 256: 107415 |
| Singh S, Zanolli Z, Amsler M, et al. (2019) Low Energy Phases of Bi Monolayer Predicted by Structure Search in Two Dimensions. The Journal of Physical Chemistry Letters |
| Amsler M, Ward L, Hegde VI, et al. (2019) Ternary mixed-anion semiconductors with tunable band gaps from machine-learning and crystal structure prediction Physical Review Materials. 3 |
| Amsler M. (2019) Thermodynamics and superconductivity of S x Se 1 -x H 3 Physical Review B. 99: 60102 |
| Dutta D, De DS, Fan D, et al. (2019) Evidence for carbon clusters present near thermal gate oxides affecting the electronic band structure in SiC-MOSFET Applied Physics Letters. 115: 101601 |
| Sun Y, Amsler M, Goedecker S, et al. (2019) Surfactant-assisted synthesis of large Cu-BTC MOF single crystals and their potential utilization as photodetectors Crystengcomm. 21: 3948-3953 |
| Rostami S, Amsler M, Ghasemi SA. (2018) Optimized symmetry functions for machine-learning interatomic potentials of multicomponent systems. The Journal of Chemical Physics. 149: 124106 |