PINN program for computational mechanics
☆134Apr 1, 2024Updated last year
Alternatives and similar repositories for PINN_Comp_Mech
Users that are interested in PINN_Comp_Mech are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆59May 30, 2024Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆18Sep 6, 2023Updated 2 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- A place to share problems solved with SciANN☆308Nov 6, 2023Updated 2 years ago
- physics-informed neural network for elastodynamics problem☆160Jan 20, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆59May 8, 2023Updated 2 years ago
- This is the code of my master thesis.☆195Feb 7, 2026Updated last month
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆75May 18, 2025Updated 10 months ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆63Mar 17, 2026Updated last week
- Physics-guided neural network framework for elastic plates☆52Mar 24, 2022Updated 4 years ago
- ☆46Nov 27, 2023Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆46Aug 17, 2024Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆26May 17, 2023Updated 2 years ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆19Jul 28, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- When using, please cite "A new family of Constitutive Artificial Neural Networks towards automated model discovery", CMAME, https://doi.o…☆66Mar 5, 2026Updated 3 weeks ago
- Benchmarking physics-constrained data-driven models of hyperelasticity against rubber and soft tissue datasets☆16Jan 15, 2023Updated 3 years ago
- Files associated with manuscript: Anisotropic damage model for collagenous tissues and its application to model fracture and needle inser…☆14Jul 27, 2022Updated 3 years ago
- Physics-informed radial basis network☆36May 20, 2024Updated last year
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Aug 26, 2024Updated last year
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆25May 11, 2023Updated 2 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆364Dec 20, 2023Updated 2 years ago
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆12Sep 7, 2021Updated 4 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆17Feb 11, 2025Updated last year
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆24Jul 3, 2023Updated 2 years ago
- ☆34Jun 25, 2022Updated 3 years ago
- In this project I use the generated dataset of stress analysis results of FVM method to train a Convolutional Neural Netwrok (CNN) model …☆28Aug 2, 2018Updated 7 years ago
- A C++ Finite Element Analysis software based on the Jem-Jive library☆15Dec 10, 2025Updated 3 months ago
- ☆18Dec 22, 2025Updated 3 months ago
- ☆36Sep 3, 2021Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆211Feb 21, 2023Updated 3 years ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆40Mar 29, 2021Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- MATLAB codes for the RPIM-NNS☆14Jun 26, 2024Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆27Jan 20, 2023Updated 3 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆26Jul 7, 2021Updated 4 years ago
- IH-GAN, data generation, and topology optimization code associated with our accepted CMAME 2022 paper: "IH-GAN: A Conditional Generative …☆28Jul 22, 2022Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆161Jul 16, 2020Updated 5 years ago
- ☆11Jul 21, 2023Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆36Feb 4, 2022Updated 4 years ago