Burigede / Learning_based_multiscaleLinks
☆11Updated 2 years ago
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 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆43Updated last year
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆16Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 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…☆67Updated 4 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆34Updated 4 years ago
- ☆21Updated 11 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago
- Physics-informed radial basis network☆32Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆17Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- ☆58Updated 2 years ago
- ☆42Updated last year
- ☆41Updated 3 years ago
- ☆19Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆32Updated 3 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆24Updated 2 years ago
- ☆32Updated 3 years ago
- ☆12Updated last year
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆13Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆25Updated last year
- Application of Graph Neural Networks to predict material properties from their microstructures.☆18Updated 10 months ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 4 months ago
- Neural Network Approach for Data-Driven Constitutive Modeling☆41Updated 3 years ago
- Rheology-informed Machine Learning Projects☆21Updated last year
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- 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
- ☆31Updated 2 years ago
- Thermodynamics-based Artificial Neural Networks☆30Updated 2 years ago