codebro634 / modulusLinks
Code for the Master's thesis: "Evaluation and improvements to Mesh Graph Nets for Computational Fluid Dynamics Simulations" which is built on the open-source deep-learning framework modulus by NVIDIA.
☆12Updated last year
Alternatives and similar repositories for modulus
Users that are interested in modulus 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…☆14Updated last year
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆39Updated 11 months ago
- Physics-informed radial basis network☆31Updated last year
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆65Updated 2 months ago
- ☆33Updated 3 years ago
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆21Updated 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
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆15Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆21Updated 2 years ago
- Thermodynamics-based Artificial Neural Networks☆27Updated 2 years ago
- ☆39Updated 3 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆88Updated last year
- ☆34Updated last month
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆42Updated 3 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆11Updated 10 months ago
- ☆30Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- Physics-informed graph neural network (GNN) emulation of soft-tissue mechanics☆34Updated 3 months ago
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆51Updated 2 weeks ago
- Modified Meshgraphnets with more features☆51Updated 5 months ago
- ☆12Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆33Updated 4 years ago
- Sparse Physics-based and Interpretable Neural Networks☆51Updated 3 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- PINN for obtaining WSS from sparse data☆64Updated last year
- Implementation of 'Inverse-design of nonlinear mechanical metamaterials via video denoising diffusion models' (Nature Machine Intelligenc…☆66Updated 11 months ago
- TopologyGAN: Topology Optimization Using Generative Adversarial Networks Based on Physical Fields Over the Initial Domain☆43Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 4 years ago