Bulletin of the American Physical Society
APS March Meeting 2023
Volume 68, Number 3
Las Vegas, Nevada (March 5-10)
Virtual (March 20-22); Time Zone: Pacific Time
Session K62: Emerging Trends in Molecular Dynamics Simulations and Machine Learning III
3:00 PM–6:00 PM,
Tuesday, March 7, 2023
Room: Room 417
Sponsoring
Unit:
DCOMP
Chair: Ken-ichi Nomura, University of Southern California
Abstract: K62.00010 : Physically and chemically inspired kernel-based neural network for constructing accurate and efficient machine learning force fields for hundreds of atoms.*
5:36 PM–5:48 PM
Author not Attending
Presenter:
Igor Poltavskyi
(University of Luxembourg)
Authors:
Igor Poltavskyi
(University of Luxembourg)
Anton Charkin-Gorbulin
(University of Mons)
Artem Kokorin
(University of Luxembourg)
Alexandre Tkatchenko
(University of Luxembourg Limpertsberg)
Grgory Cordeiro Fonseca
(University of Luxembourg Limpertsberg)
1) S. Chmiela et al., Sci. Adv. 3, e1603015 (2017).
2) S. Chmiela et al., arXiv.2209.14865 (2022).
*The Luxembourg National Research Fund (FNR) (Grant C19/MS/13718694/QML-FLEX).
Follow Us |
Engage
Become an APS Member |
My APS
Renew Membership |
Information for |
About APSThe American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics. |
© 2024 American Physical Society
| All rights reserved | Terms of Use
| Contact Us
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