Simulating Thermal and Quantum Fluctuations in Materials and Molecules
APA
Ceriotti, M. (2019). Simulating Thermal and Quantum Fluctuations in Materials and Molecules . Perimeter Institute. https://pirsa.org/19070004
MLA
Ceriotti, Michele. Simulating Thermal and Quantum Fluctuations in Materials and Molecules . Perimeter Institute, Jul. 08, 2019, https://pirsa.org/19070004
BibTex
@misc{ pirsa_PIRSA:19070004, doi = {10.48660/19070004}, url = {https://pirsa.org/19070004}, author = {Ceriotti, Michele}, keywords = {Condensed Matter}, language = {en}, title = {Simulating Thermal and Quantum Fluctuations in Materials and Molecules }, publisher = {Perimeter Institute}, year = {2019}, month = {jul}, note = {PIRSA:19070004 see, \url{https://pirsa.org}} }
L'Ecole Polytechnique Federale de Lausanne (EPFL)
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Abstract
Both electrons and nuclei follow the laws of quantum mechanics, and even though classical approximations and/or empirical models can be quite successful in many cases, a full quantum description is needed to achieve predictive simulations of matter. Traditionally, simulations that treat both electrons and nuclei as quantum particles have been prohibitively demanding. I will present several recent algorithmic advances that have increased dramatically the range of systems that are amenable to quantum modeling: on one hand, by using accelerated path integral schemes to treat the nuclear degrees of freedom, and on the other by using machine-learning potentials to reproduce inexpensively high-end electronic-structure calculations. I will give examples of both approaches, and discuss how the two can be used in synergy to make fully quantum modeling affordable.