Bulletin of the American Physical Society

APS March Meeting 2021

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session L18: Atomistic Simulations via Machine Learning Potentials

Sponsoring Units: DCOMP
Chair: Annabella Selloni, Princeton University

Wednesday, March 17, 2021 8:00AM - 8:36AM Live		L18.00001: Machine learned force fields: status and challenges Invited Speaker: Gabor Csanyi
Wednesday, March 17, 2021 8:36AM - 9:12AM Live		L18.00002: Expanding the time- and length-scale of ab initio molecular dynamics with deep neural network potentials Invited Speaker: Marcos Andrade
Wednesday, March 17, 2021 9:12AM - 9:48AM		L18.00003: Machine learned exchange and correlation functionals in density functional theory: progress and applications Invited Speaker: Marivi Fernandez
Wednesday, March 17, 2021 9:48AM - 10:24AM		L18.00004: Towards Mainstream Machine Learning Force Fields Invited Speaker: Alexandre Tkatchenko
Wednesday, March 17, 2021 10:24AM - 11:00AM Live		L18.00005: Global Neural Network Potential for Material Simulation and Catalysis Invited Speaker: Zhi-Pan Liu

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Bulletin of the American Physical Society

APS March Meeting 2021

Monday–Friday, March 15–19, 2021; Virtual; Time Zone: Central Daylight Time, USA

Session Index

Session L18: Atomistic Simulations via Machine Learning Potentials

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