Bahador Bahmani

According to our database1, Bahador Bahmani authored at least 7 papers between 2020 and 2023.

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Bibliography

2023
Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials.
CoRR, 2023

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions.
CoRR, 2023

2021
Manifold embedding data-driven mechanics.
CoRR, 2021

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

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

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

2020
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data.
CoRR, 2020


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