Bahador Bahmani

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Causal Relations

Instructional Materials

Top Venues

Publications

Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis
A review on data-driven constitutive laws for solids. CoRR (2024)
Bahador Bahmani, Somdatta Goswami, Ioannis G. Kevrekidis, Michael D. Shields
A Resolution Independent Neural Operator. CoRR (2024)
Bahador Bahmani, WaiChing Sun
Physics-constrained symbolic model discovery for polyconvex incompressible hyperelastic materials. CoRR (2023)
Bahador Bahmani, Hyoung Suk Suh, WaiChing Sun
Discovering interpretable elastoplasticity models via the neural polynomial method enabled symbolic regressions. CoRR (2023)
Chen Cai, Nikolaos Vlassis, Lucas Magee, Ran Ma, Zeyu Xiong, Bahador Bahmani, Teng-Fong Wong, Yusu Wang, WaiChing Sun
Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph. CoRR (2021)
Bahador Bahmani, WaiChing Sun
Training multi-objective/multi-task collocation physics-informed neural network with student/teachers transfer learnings. CoRR (2021)
Bahador Bahmani, WaiChing Sun
Manifold embedding data-driven mechanics. CoRR (2021)
Xiao Sun, Bahador Bahmani, Nikolaos N. Vlassis, WaiChing Sun, Yanxun Xu
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation. CoRR (2021)
Bahador Bahmani, WaiChing Sun
An accelerated hybrid data-driven/model-based approach for poroelasticity problems with multi-fidelity multi-physics data. CoRR (2020)