Login / Signup
Bahador Bahmani
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 7
Top Topics
Transfer Learning
Causal Relations
Manifold Embedding
Simulation Data
Top Venues
CoRR
</>
Publications
</>
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)