Bahador Bahmani

According to our database, Bahador Bahmani authored at least 9 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Resolution Independent Neural Operator.

Bahador Bahmani, Somdatta Goswami, Ioannis G. Kevrekidis, Michael D. Shields

CoRR, 2024

A review on data-driven constitutive laws for solids.

Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis

CoRR, 2024

2023

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

Bahador Bahmani, WaiChing Sun

CoRR, 2023

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

Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun

CoRR, 2023

2021

Manifold embedding data-driven mechanics.

Bahador Bahmani, WaiChing Sun

CoRR, 2021

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

Bahador Bahmani, WaiChing Sun

CoRR, 2021

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

Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu

CoRR, 2021

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

Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun

CoRR, 2021

2020

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

Bahador Bahmani, WaiChing Sun

CoRR, 2020