2 citations · 2 across the 1 of their papers we have counts for
3 papers
cond-mat.soft2022★ 2 cited
A Knowledge-driven Physics-Informed Neural Network model; Pyrolysis and Ablation of Polymers
Aref Ghaderi, Ramin Akbari, Yang Chen +1
In aerospace applications, multiple safety regulations were introduced to address associated with pyrolysis. Predictive modeling of pyrolysis is a challenging task since multiple t…
cond-mat.soft2020
A Bayesian Surrogate Constitutive Model to Estimate Failure Probability of Rubber-Like Materials
Aref Ghaderi, Vahid Morovati, Roozbeh Dargazany
In this study, a stochastic constitutive modeling approach for elastomeric materials is developed to consider uncertainty in material behavior and its prediction. This effort leads…
cond-mat.soft2020
A Physics-informed Assembly of Feed-Forward Neural Network Engines to Predict Inelasticity in Cross-Linked Polymers
Aref Ghaderi, Vahid Morovati, Roozbeh Dargazany
In solid mechanics, Data-driven approaches are widely considered as the new paradigm that can overcome the classic problems of constitutive models such as limiting hypothesis, comp…