Bahador Bahmani

Synthesizing controlled microstructures of porous media using generative adversarial networks and reinforcement learning

Phong Nguyen, Nikolaos N. Vlassis, Bahador Bahmani et al. · Scientific Reports · 2022 · 68 citations · Full text

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

Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis et al. · Granular Matter · 2021 · 34 citations

Artificial Intelligence, Data-driven Discovery, Engineering +14

Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions

Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun · Computer Methods in Applied Mechanics and Engineering · 2024 · 34 citations · Full text

Interpretable Elastoplasticity Models, Neural Polynomial Method, Engineering +13

Application of an enriched FEM technique in thermo-mechanical contact problems

A.R. Khoei, Bahador Bahmani · Computational Mechanics · 2018 · 33 citations

Materials Science, Engineering, Enriched Fem Technique +11

A kd-tree-accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data

Bahador Bahmani, WaiChing Sun · Computer Methods in Applied Mechanics and Engineering · 2021 · 32 citations · Full text

Numerical Analysis, Engineering, Poroelasticity Problems +13