Bahador Bahmani

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

Geometry-Informed Data-Driven Mechanics

Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials

Distance-preserving manifold denoising for data-driven mechanics

Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from morse graph

Manifold embedding data-driven mechanics

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

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