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01/29/2023
Physics-agnostic and Physics-infused machine learning for thin films flows: modeling, and predictions from small data
Numerical simulations of multiphase flows are crucial in numerous engine...
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01/27/2023
From partial data to out-of-sample parameter and observation estimation with Diffusion Maps and Geometric Harmonics
A data-driven framework is presented, that enables the prediction of qua...
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08/23/2022
Limits of Entrainment of Circadian Neuronal Networks
Circadian rhythmicity lies at the center of various important physiologi...
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05/26/2022
