1 citations · 2 across the 5 of their papers we have counts for
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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…
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…
Amortized Bayesian Inference of GISAXS Data with Normalizing Flows
Maksim Zhdanov, Lisa Randolph, Thomas Kluge +4
Grazing-Incidence Small-Angle X-ray Scattering (GISAXS) is a modern imaging technique used in material research to study nanoscale materials. Reconstruction of the parameters of an…