vivekoommen / UNetForMicrostructureEvolution
Rethinking materials simulations: Blending DNS with Neural Operators
☆17Updated 9 months ago
Alternatives and similar repositories for UNetForMicrostructureEvolution:
Users that are interested in UNetForMicrostructureEvolution are comparing it to the libraries listed below
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆40Updated 9 months ago
- Thermodynamics-based Artificial Neural Networks☆25Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆56Updated 2 years ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆14Updated 11 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 8 months ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆48Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆29Updated 3 years ago
- ☆25Updated last month
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆98Updated 8 months ago
- Rheology-informed Machine Learning Projects☆16Updated last year
- Microstructure Modeling and Simulation. Generate microstructures using site-saturation condition, and simulate grain growth using Monte C…☆14Updated 4 months ago
- Mechanical-MNIST is a benchmark dataset for mechanical meta-models -- this repository contains code to generate metamodels for Mechanica…☆30Updated 5 years ago
- Multifidelity DeepONet☆31Updated last year
- A short tutorial on phase field models.☆27Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated 2 weeks ago
- ☆28Updated 2 years ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆50Updated 3 months ago
- mechanoChemML library☆17Updated 2 years ago
- Variational Physic-informed Neural Operator (VINO) for Learning Partial Differential Equations☆13Updated 2 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated last year
- MicroSim is a project under the National Supercomputing Mission, Govt of India. The project offers a set of codes that can use high perfo…☆35Updated last month
- Phase-field code in MATLAB to solve the phase-field model of Fan & Chen for Grain Growth phenomena in 2D☆25Updated 4 years ago
- ☆51Updated 2 years ago
- DeepONet extrapolation☆27Updated last year
- Discontinuity Computing Using Physics-Informed Neural Network☆24Updated last year
- Phase field model for precipitate aging in ternary analogues to Ni-based superalloys☆35Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago