Thermal fracture is prevalent in many engineering problems and is one of the most
devastating defects in metal additive manufacturing. Due to the interactive underlying …

Physics‐informed neural networks (PINNs) are a new tool for solving boundary value
problems by defining loss functions of neural networks based on governing equations …

We applied physics-informed neural networks to solve the constitutive relations for
nonlinear, path-dependent material behavior. As a result, the trained network not only …

The extrusion-based additive manufacturing (AM) is currently the most common there-
dimensional (3D) printing for the fabrication of polymer components. In this study, the …

Efficient and accurate fracture modeling is of great importance in applications where
catastrophic outcomes under extreme scenarios are possible. The phase-field (PF) …

As a diffused fracture theory, phase-field models can seamlessly simulate complex crack
patterns such as extending, branching, and merging. Despite the success of phase-field …

We formulate a modified phase-field model for cohesive interface failure in quasi-brittle
solids. Our model has two novel features:(i) a traction–separation-damage law for damage …

In the context of computational modeling of fracture in chemo-mechanical environments,
physically-sound and strong coupling between different fields is essential. Furthermore, our …

Phase field models have been extensively studied in the analysis of ductile fracture.
However, few have been explored to simulate additively manufactured materials and …

This work provides a framework for predicting fracture of catalyst coated membrane (CCM)
due to coupled electro-chemo-mechanical degradation processes in proton exchange …