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04/08/2023
A multifidelity approach to continual learning for physical systems
We introduce a novel continual learning method based on multifidelity de...
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04/01/2023
Scientific Computing Algorithms to Learn Enhanced Scalable Surrogates for Mesh Physics
Data-driven modeling approaches can produce fast surrogates to study lar...
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03/03/2022
Enhanced physics-constrained deep neural networks for modeling vanadium redox flow battery
Numerical modeling and simulation have become indispensable tools for ad...
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09/07/2018