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Drummond Buschman Fielding

2 accepted papers

2024

The Well: a Large-Scale Collection of Diverse Physics Simulations for Machine Learning

NeurIPS 2024poster

Machine learning based surrogate models offer researchers powerful tools for accelerating simulation-based workflows. However, as standard datasets in this space often cover small classes of physical behavior, it can be difficult to evaluate the efficacy of new approaches. To address this gap, we in…

2022

Learned Simulators for Turbulence

ICLR 2022poster

Turbulence simulation with classical numerical solvers requires high-resolution grids to accurately resolve dynamics. Here we train learned simulators at low spatial and temporal resolutions to capture turbulent dynamics generated at high resolution. We show that our proposed model can simulate tur…

Cited by 47SourcePDFScholar