3 papers
stat.AP2026
Process-fracture mapping of a DLP-printed photopolymer using Bayesian active learning and surrogate-based sensitivity analysis
Ethan Blackwell, Yogesh C. Chandrashekar, Guoqiang Li +1
Digital light processing (DLP) enables rapid fabrication of polymer structures, but fracture performance depends on multiple interacting processing variables, making exhaustive exp…
cond-mat.soft2025
Stress Softening Damage in Strongly Nonlinear Viscoelastic Soft Materials A Physics Informed Data Driven Constitutive Model with Time Temperature Coupling
Alireza Ostadrahimi, Amir Teimouri, Kshitiz Upadhyay +1
This study presents a novel physics informed, data-driven modeling framework for capturing the strongly nonlinear thermo-viscoelastic behavior of soft materials exhibiting stress s…
cond-mat.soft2025
A Physics-Informed Data-Driven Discovery for Constitutive Modeling of Compressible, Nonlinear, History-Dependent Soft Materials under Multiaxial Cyclic Loading
Alireza Ostadrahimi, Amir Teimouri, Kshitiz Upadhyay +1
We propose a general hybrid physics-informed machine learning framework for modeling nonlinear, history-dependent viscoelastic behavior under multiaxial cyclic loading. The approac…