Publications

Performance Portable Solid Mechanics via Matrix-Free $p$-Multigrid

Published in Preprint - arXiv, 2022

We demonstrate that matrix-free p-multigrid methods provide significant performance gains on modern HPC systems over sparse, assembled matrices for hyperelastic solid mechanics problems.

Adversarial sampling of unknown and high-dimensional conditional distributions

Published in Journal of Computational Physics, 2022

We develop a GANs model to generate an ensemble of statistically plausible instances of a potentially unknown distribution.

Adversarial super-resolution of climatological wind and solar data

Published in Proceedings of the National Academy of Sciences, 2020

We used GANs to perform up to a 50x super-resolution on wind and solar climate data.

Published in , 1900