Bahador Bahmani

14 papers Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Multimodal Conditional Mixture Model with Distribution-Level Physics Priors.
CoRR
Jinkyo Han, Bahador Bahmani
2025 J jnl
A Physics-informed Multi-resolution Neural Operator.
CoRR
Sumanta Roy, Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2025 J jnl
Neural Chaos: A Spectral Stochastic Neural Operator.
CoRR
Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2025 J jnl
Neural chaos: A spectral stochastic neural operator.
J. Comput. Phys.
Bahador Bahmani, Ioannis G. Kevrekidis, Michael D. Shields
2024 J jnl
A Resolution Independent Neural Operator.
CoRR
Bahador Bahmani, Somdatta Goswami, Ioannis G. Kevrekidis, Michael D. Shields
2024 J jnl
A review on data-driven constitutive laws for solids.
CoRR
Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis
2024 — —
Geometry-Informed Data-Driven Mechanics
Bahador Bahmani
2023 J jnl
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions.
CoRR
Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun
2023 J jnl
Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials.
CoRR
Bahador Bahmani, WaiChing Sun
2021 J jnl
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation.
CoRR
Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu
2021 J jnl
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.
CoRR
Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun
2021 J jnl
Manifold embedding data-driven mechanics.
CoRR
Bahador Bahmani, WaiChing Sun
2021 J jnl
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings.
CoRR
Bahador Bahmani, WaiChing Sun
2020 J jnl
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data.
CoRR
Bahador Bahmani, WaiChing Sun