this github features my work on various projects including
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, a project to fuse deep neural networks with high performance numerical solvers for particle transport. The work is summarized in the ICML2022 contribution, which can be found on arxiv
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, and Tucker-DLRT a novel approach for adaptive low-rank neural network training and model compression. The work is summarized in the NeurIPS2022 contribution, which can be found on arxiv.
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, an high performance radiation transport simulator and multi purpose numerical toolkit. You can also read the docs. The preprint can be found on arxiv.
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, a multi-physics optimization and CFD suite. Check out the official website. My contribution is summarized in the AIAA Journal.
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, a deep-learning based prediction of continuum breakdown of rarefied gas flows with a hybrid flow-solver. The preprint can be found on arxiv.
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🌱 Householder Fellow @ Oak Ridge National Laboratory.