This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value and time dependent problems. Here We have used the Deep Neural Network as a function approximator and converted the problem of directly solving the governing equation into a loss function optimization problem. It…
☆16May 14, 2022Updated 4 years ago
Alternatives and similar repositories for Meachine-Learning-approach-to-solve-the-mechanics-problems
Users that are interested in Meachine-Learning-approach-to-solve-the-mechanics-problems 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 method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆80Apr 17, 2026Updated 5 months ago
- Adaptive phase field modeling of fracture using deep energy minimization.☆44Mar 29, 2021Updated 5 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 6 years ago
- A mini project on python☆11Oct 26, 2022Updated 3 years ago
- Physics Informed Neural Network (PINN) for a projectile motion.☆14Jul 16, 2020Updated 6 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.
- An efficient tool for large-scale correlation network analysis☆15Dec 27, 2024Updated last year
- ☆11Sep 7, 2022Updated 4 years ago
- ☆12Aug 28, 2022Updated 4 years ago
- Readme file☆13Dec 13, 2023Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆26Jul 3, 2023Updated 3 years ago
- ☆16Jul 17, 2022Updated 4 years ago
- ☆12Nov 4, 2021Updated 4 years ago
- SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain☆22May 5, 2024Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- physics-informed neural network for elastodynamics problem☆163Jan 20, 2022Updated 4 years ago
- Prediction and control of fracture paths in disordered architected materials using graph neural networks☆12Apr 21, 2023Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆33Jan 20, 2025Updated last year
- The Cardiovascular Integrated Modelling and Simulation Environment's Open-Source Incompressibe Navier Stokes Finite Element Flowsolver☆15Jan 23, 2022Updated 4 years ago
- This repository is a collection of user elements for FEAP and generated using AceGen☆12Aug 26, 2021Updated 5 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆20May 8, 2026Updated 4 months ago
- The DynaGen model allows the prediction of dynamical field data based on microstructure input. The model is exemplified to dynamic fractu…☆12Mar 17, 2023Updated 3 years ago
- Physics-informed neural networks (PINNs)☆16Jun 7, 2022Updated 4 years ago
- Implementation of `Towards fully autonomous seismic networks: backprojecting deep-learning-based phase time functions for earthquake moni…☆11Mar 13, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Archive of questions from the Cambridge Mathematics Tripos☆10Jun 6, 2022Updated 4 years ago
- Python code of the paper "Model structures and fitting criteria for system identification with neural networks" by Marco Forgione and Dar…☆20Sep 2, 2021Updated 5 years ago
- Predict the wall shear stress along the coronary artery using Deep Learning☆13Aug 9, 2021Updated 5 years ago
- Leibniz is a python package which provide facilities to express learnable partial differential equations with PyTorch☆15Sep 13, 2021Updated 5 years ago
- A Hands-on Introduction to Physics-Informed Neural Networks☆20Apr 30, 2025Updated last year
- Generic Interface Readilly Accessible for Finite Elements☆23Aug 6, 2026Updated last month
- Deep learning seismic waveform inversion using pydsm☆10Mar 5, 2021Updated 5 years ago
- Reimplementation of Learning Mesh-based Simulation With Graph Networks☆44May 13, 2021Updated 5 years ago
- Simulation kit for Complex Fluid Solid Soil Mechanics☆40Oct 30, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Introduction to exploratory data analysis course for Mathematics and data analysis studies in Spring 2021/2022☆14Jun 16, 2022Updated 4 years ago
- ☆16Oct 21, 2022Updated 3 years ago
- The model uses the AE-GAN (Autoencoder Generative Adversarial Network) architecture for generating upsampled images. The model is trained…☆13May 25, 2020Updated 6 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆80Sep 13, 2021Updated 5 years ago
- This is a repository that groups a diverse set of machine learning models that I have created, tackling problematics in the oil and gas i…☆17Dec 9, 2022Updated 3 years ago
- Field scale model generation and upscaling toolkit☆13Aug 24, 2026Updated 3 weeks ago
- [ABANDONED] A nascent javascript library for math and physics calculations☆15Jul 21, 2015Updated 11 years ago