Bulletin of the American Physical Society
APS April Meeting 2023
Volume 68, Number 6
Minneapolis, Minnesota (Apr 15-18)
Virtual (Apr 24-26); Time Zone: Central Time
Session M11: Machine learning and AI
10:45 AM–12:21 PM,
Monday, April 17, 2023
Room: Marquette II - 2nd Floor
Sponsoring Units: DPF GDS
Chair: Gordon Watts, University of Washington
Abstract: M11.00003 : Gauge Equivariant Neural Networks for 2+1D U(1) Gauge Theory Simulations in Hamiltonian Formulation*
11:09 AM–11:21 AM
(Massachusetts Institute of Technology)
(University of Michigan, Ann Arbor)
Bryan K Clark
(University of Illinois at Urbana-Champaign)
Julian Bender, Giuseppe Carleo, Lena Funcke, and Zhuo Chen.
*DL acknowledges support from the U.S. Department of Energy, Office of Science, National Quantum Information Science Research Centers, Co-design Center for Quantum Advantage (C2QA) under contract number DE-SC0012704, and the NSF AI Institute for Artificial Intelligence and Fundamental Interactions (IAIFI). JS acknowledges support from NSF under grant DMS-2038030. BKC acknowledges support from the Department of Energy grant DOE DESC0020165.
The American Physical Society (APS) is a non-profit membership organization working to advance the knowledge of physics.
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