Burigede / Learning_based_multiscaleLinks
☆11Updated last year
Alternatives and similar repositories for Learning_based_multiscale
Users that are interested in Learning_based_multiscale are comparing it to the libraries listed below
Sorting:
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 9 months ago
- Thermodynamics-based Artificial Neural Networks☆25Updated 2 years ago
- ☆52Updated 2 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- ☆39Updated last year
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- ☆19Updated 8 months ago
- ☆19Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- ☆12Updated 11 months ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 3 weeks ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆13Updated 2 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 2 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated 2 weeks ago
- Application of Graph Neural Networks to predict material properties from their microstructures.☆16Updated 6 months ago
- Rheology-informed Machine Learning Projects☆18Updated last year
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- ☆21Updated 7 months ago
- ☆28Updated 2 years ago
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆21Updated this week
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆16Updated 2 months ago
- ☆10Updated last year
- Physics-informed radial basis network☆30Updated last year
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago