ConstitutiveANN / CANN
Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
☆25Updated 4 years ago
Alternatives and similar repositories for CANN:
Users that are interested in CANN are comparing it to the libraries listed below
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆13Updated 2 years ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆44Updated last month
- ☆16Updated 4 years ago
- ☆49Updated last year
- ☆24Updated last month
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆27Updated last week
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 8 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆35Updated 7 months ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- ☆19Updated 6 months ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆18Updated 2 years ago
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆19Updated 3 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Thermodynamics-based Artificial Neural Networks☆24Updated last year
- A 3D multsicale topology optimization code using surrogate models of lattice microscale response☆37Updated 5 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆49Updated 3 years ago
- ☆39Updated last year
- TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain☆40Updated 3 years ago
- Efficient GPU-computing simulation for differentiable crystal plasticity finite element method☆29Updated 3 weeks ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆55Updated 3 years ago
- FEniCS implementation: a phase field model for cohesive fracture in micropolar continua☆26Updated 5 years ago
- ☆10Updated last year
- Generates patterns with seamlessly connected building blocks☆12Updated 10 months ago
- Stress Field Prediction in Cantilevered Structures Using Convolutional Neural Networks☆31Updated 5 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆15Updated 2 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- IH-GAN, data generation, and topology optimization code associated with our accepted CMAME 2022 paper: "IH-GAN: A Conditional Generative …☆23Updated 2 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆11Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 3 years ago