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Bahador Bahmani

Neural Chaos: A Spectral Stochastic Neural Operator

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Feb 17, 2025
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A Resolution Independent Neural Operator

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Jul 17, 2024
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A review on data-driven constitutive laws for solids

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May 06, 2024
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Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions

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Jul 24, 2023
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Manifold embedding data-driven mechanics

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Dec 18, 2021
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Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings

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Jul 24, 2021
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Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation

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May 20, 2021
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Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph

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Apr 12, 2021
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An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data

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Nov 30, 2020
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