Bulletin of the American Physical Society
APS March Meeting 2024
Monday–Friday, March 4–8, 2024; Minneapolis & Virtual
Session W28: Statistical Physics Meets Machine Learning III
3:00 PM–5:36 PM,
Thursday, March 7, 2024
Room: 101I
Sponsoring
Units:
GSNP DSOFT GDS
Chair: Yuhai Tu, IBM T. J. Watson Research Center
Abstract: W28.00007 : Data-Enabled Coarse-Graining of Confined Simple Liquids*
4:36 PM–4:48 PM
Presenter:
Ishan M Nadkarni
(University of Texas at Austin)
Authors:
Ishan M Nadkarni
(University of Texas at Austin)
Haiyi Wu
(UT austin)
Narayana R Aluru
(The University of Texas at Austin)
*The work on deep learning was supported by the Center for Enhanced Nanofluidic Transport (CENT), an Energy Frontier Research Center funded by the U.S. Department of Energy, Office of Science, Basic Energy Sciences (Award No. DE-SC0019112) and also the National Science Foundation under (Grant Nos. 2140225 and 2137157). The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing access to the Lonestar6 resource that has contributed to the research results reported within this paper. We also acknowledge the use of the Extreme Science and Engineering Discovery Environment (XSEDE) Stampede2 at the Texas Advanced Computing Centre through Allocation No. TG-CDA100010.
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