Extension of DOLFINx implementing the concept of external operator

Automated representative volume element simulator via abaqus for material constitutive law discovery

Thermodynamics-based Artificial Neural Networks

A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.

Material Definition with Automatic Differentiation

This is a nonlinear elastic constitutive model(Duncan-CHANG EB) UMAT widely used in the field of geotechnical engineering. It can be used in abaqus6.14-5 to calculate the dam settlement deformation.

The alpine 🏔️ material modeling toolbox Marmot. Documentation:

VUMAT implementation of the Johnson–Cook model.

Neural integration for constitutive equations

A simple crystal plasticity model for single crystal, developed in C++.

This ABAQUS UHYPER subroutine implements the hyperelastic energy density derived in Journal of the Mechanics and Physics of Solids 122 (2019), 364–380 for the macroscopic elastic response of non-Gaussian elastomers weakened by an isotropic and non-percolative distribution of equiaxed pores. This result is valid for any choice of I1-based incompr…

Differentiable Tensors based on NumPy Arrays

Model of thermo-hyperelasticity using Constitutive Artificial Neural Networks

AI4Engineering: Machine learning surrogates for universal microstructure-property forecasting with physical guarantees

Abaqus UMAT for Crystal Plasticity Finite Element Modelling.

An updated implementation for the thermodynamic consistent physics-informed deep learning model

A physics-informed data-driven framework for modeling hyperelastic materials with progressive damage and failure

Hands-on exercises and material from 2025 ALERT Olek Zienkiewicz School on Constitutive modelling of geomaterials

CSMA Junior Workshop on Deep Learning and constitutive modeling

Multi Variable Non linear curve fit apply to material characterization in dynamic behavior.