Bulletin of the American Physical Society
2024 APS March Meeting
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session Q62: Emerging Trends in Molecular Dynamics Simulations and Machine Learning IV
3:00 PM–5:48 PM,
Wednesday, March 6, 2024
Room: 208CD
Sponsoring
Unit:
DCOMP
Chair: Priya Darshan Vashishta
Abstract: Q62.00002 : Modeling coarse-grained lattice dynamics with ab initio generalized Langevin equation*
3:36 PM–3:48 PM
Presenter:
Pinchen Xie
(Princeton University)
Authors:
Pinchen Xie
(Princeton University)
Roberto Car
(Princeton University)
Weinan E
(AI for Science Institute, Beijing)
We demonstrate the approach with a study of the ferroelectric crystal lead titanate. We introduce a local kernel approximation and train an infinite-dimensional AIGLE to model the dynamics of interacting local dipole moments on a coarse-grained lattice. AIGLE is shown to be consistent with MD data not only for the autocorrelation of local dipole moments and global polarization, but also for the cross-correlation between neighboring local dipoles.
*This work was supported by the Computational Chemical Center: Chemistry in Solution and at Interfaces (CSI) funded by the DOE Award DE-SC0019394. The simulations in this work were performed on computational resources managed and supported by Princeton Research Computing, a consortium of groups including the Princeton Institute for Computational Science and Engineering (PICSciE) and the Office of Information Technology's High Performance Computing Center and Visualization Laboratory at Princeton University.
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