Projects & Grants

Analysis and validation of physics-informed machine learning

Developing a benchmark for physics-informed machine learning in inverse problems

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CPU thermal management via Physics-Informed Neural Networks

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Bilevel optimization framework for physics-informed machine learning in inverse problems

Toward stable and efficient training of Physics-Informed Neural Networks (PINNs)