303 citations · 1.2k across the 32 of their papers we have counts for
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physics.comp-ph2019
Physical Symmetries Embedded in Neural Networks
M. Mattheakis, P. Protopapas, D. Sondak +2
Neural networks are a central technique in machine learning. Recent years have seen a wave of interest in applying neural networks to physical systems for which the governing dynam…
physics.comp-ph2019
Imaginary-time time-dependent density functional theory and its application for robust convergence of electronic states
Cedric Flamant, Grigory Kolesov, Efstratios Manousakis +1
Reliable and robust convergence to the electronic ground state within density functional theory (DFT) Kohn-Sham (KS) calculations remains a thorny issue in many systems of interest…