Bahador Bahmani

14 papers Journal 13

Year	Rank	Type	Title / 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