Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

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

Session Index

Session L18: Atomistic Simulations via Machine Learning Potentials

Invited Session Live

Show Abstracts

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 Live		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 Live		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

About APS

The American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics.

Headquarters 1 Physics Ellipse, College Park, MD 20740-3844 (301) 209-3200
Editorial Office 100 Motor Pkwy, Suite 110, Hauppauge, NY 11788 (631) 591-4000
Office of Public Affairs 529 14th St NW, Suite 1050, Washington, D.C. 20045-2001 (202) 662-8700

Bulletin of the American Physical Society

APS March Meeting 2021

Volume 66, Number 1

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

Session Index

Session L18: Atomistic Simulations via Machine Learning Potentials

Follow Us

Engage

My APS

Information for

About APS