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20202022
most citedContinual learning autoencoder training for a particle-in-cell simulation via streaming

1 citations · 2 across the 4 of their papers we have counts for

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cs.LG2022★ 1 cited

Continual learning autoencoder training for a particle-in-cell simulation via streaming

Patrick Stiller, Varun Makdani, Franz Pöschel +4

The upcoming exascale era will provide a new generation of physics simulations. These simulations will have a high spatiotemporal resolution, which will impact the training of mach…

quant-ph2022★ 1 cited

Physics-Informed Neural Networks as Solvers for the Time-Dependent Schrödinger Equation

Karan Shah, Patrick Stiller, Nico Hoffmann +1

We demonstrate the utility of physics-informed neural networks (PINNs) as solvers for the non-relativistic, time-dependent Schrödinger equation. We study the performance and genera…