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20232026
most citedA learning-based multiscale model for reactive flow in porous media

1 citations · 2 across the 8 of their papers we have counts for

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physics.app-ph2024★ 1 cited

Iterated learning and multiscale modeling of history-dependent architectured metamaterials

Yupeng Zhang, Kaushik Bhattacharya

Neural network based models have emerged as a powerful tool in multiscale modeling of materials. One promising approach is to use a neural network based model, trained using data g…

physics.app-ph2023

Learning the Effective Adhesive Properties of Heterogeneous Substrates

Maximo Cravero Baraja, Kaushik Bhattacharya

Adhesion is a fundamental phenomenon that plays a role in many engineering and biological applications. This paper concerns the use of machine learning to characterize the effectiv…