Extension of DOLFINx implementing the concept of external operator
Thermodynamics-based Artificial Neural Networks
Material Definition with Automatic Differentiation
Automated representative volume element simulator via abaqus for material constitutive law discovery
The alpine 🏔️ material modeling toolbox Marmot. Documentation:
A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient conditions.
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.
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
Surrogates for microstructure property linkages that inherently fulfill the Voigt-Reuss bounds.
VUMAT implementation of the Johnson–Cook model.
An updated implementation for the thermodynamic consistent physics-informed deep learning model
CSMA Junior Workshop on Deep Learning and constitutive modeling
Multi Variable Non linear curve fit apply to material characterization in dynamic behavior.
Hands-on exercises and material from 2025 ALERT Olek Zienkiewicz School on Constitutive modelling of geomaterials
Fortran implementation of modified cam clay.
PhD Research Framework for Data-Driven Modeling of Elastic-Plastic Material Behavior. A comprehensive library providing tools for defining, training, and validating neural network-based constitutive models against simulation data.
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