ConstitutiveANN / CANN
Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials
☆25Updated 3 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
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆26Updated 9 months ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆44Updated last month
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆11Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆17Updated 2 years ago
- ☆45Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆15Updated 2 years ago
- ☆10Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- ☆19Updated 4 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆54Updated 3 years ago
- Thermodynamics-based Artificial Neural Networks☆24Updated last year
- ☆37Updated last year
- Linear elastic analysis of heterogeneous materials and structures with the Extended Multiscale Finite Element Method (EMsFEM)☆18Updated 3 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 7 months ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆48Updated 3 years ago
- ☆16Updated 4 years ago
- Neural Network Approach for Data-Driven Constitutive Modeling☆40Updated 3 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆16Updated last year
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆11Updated 2 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆12Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆16Updated 9 months ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆22Updated 3 years ago
- ☆22Updated 4 years ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- ☆17Updated last year
- ☆23Updated last week
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 2 years ago
- A 3D multsicale topology optimization code using surrogate models of lattice microscale response☆36Updated 5 years ago