Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
☆20May 8, 2026Updated 4 months ago
Alternatives and similar repositories for Parametric-NN-Models
Users that are interested in Parametric-NN-Models are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional fi…☆12Sep 28, 2023Updated 2 years ago
- In this study, we propose a novel deep learning model named as the Finite-element-informed neural network (FEI-NN), inspired from finite …☆18Jul 6, 2024Updated 2 years ago
- FEM enhanced neural network☆20Nov 27, 2022Updated 3 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- This program is developed based on the invariant level set method (I-LSM) to extract the fracture geometry simulated by XFEM in ABAQUS.☆14Jun 11, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated last year
- Physics-guided neural network framework for elastic plates☆51Mar 24, 2022Updated 4 years ago
- Finite element thermo-elastic, buckling analysis of variable angle tow laminated plate☆13Apr 16, 2025Updated last year
- Various finite element implementations for composite laminate plates in MatLab☆11Oct 9, 2017Updated 8 years ago
- Generates RVE with periodic boundary conditions☆14Sep 21, 2018Updated 7 years ago
- Graph Neural Network-based Surrogate Models for Finite Element Analysis☆10Sep 25, 2022Updated 3 years ago
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Jul 7, 2023Updated 3 years ago
- ☆23Feb 21, 2024Updated 2 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 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- ☆15Sep 7, 2026Updated last week
- Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆11Updated this week
- Fast, matrix-free isogeometric Galerkin method for Karhunen-Loeve approximation of random fields.☆11Mar 22, 2021Updated 5 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆31Jul 26, 2019Updated 7 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆20Dec 8, 2023Updated 2 years ago
- Ice-Elastoplastic-Material-Model written in Fortran (VUMAT and VUSDFLD) for the Abaqus/Explicit solver (v2019-2022)☆19Apr 7, 2023Updated 3 years ago
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- ☆32Aug 31, 2022Updated 4 years ago
- The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-…☆14Nov 17, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆14Jan 26, 2022Updated 4 years ago
- A program for solving nonlinear boundary value problems in solid mechanics with nonlinear material behaviour and large deformation.☆11Jun 19, 2023Updated 3 years ago
- 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 4 months ago
- a FEniCs-based (Model-Free) Data-driven Computational Mechanics implementation☆13Jul 22, 2026Updated last month
- Solve static non-linear mechanics problems using Finite Elements Method for hyperelastic materials☆11Feb 14, 2025Updated last year
- Constitutive hyperelastic material formulations for FElupe.☆15Feb 13, 2026Updated 7 months ago
- This package implements NURBS-based IsoGeometric Analysis (IGA) and is released freely for education and research purposes. These codes a…☆44Jun 26, 2019Updated 7 years ago
- Codes and dataset for paper "IF-TONIR: Iteration-free Topology Optimization based on Implicit Neural Representations"☆12Oct 22, 2023Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆50Aug 17, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 5 years ago
- In his project, we proposed a new acquisition function for kriging-based reliability analysis, namely expected uncertainty reduction (EUR…☆13Apr 4, 2022Updated 4 years ago
- Files associated with manuscript: Anisotropic damage model for collagenous tissues and its application to model fracture and needle inser…☆15Jul 27, 2022Updated 4 years ago
- Explicit GPU-based implementation under a mpm numerical framework (GIMPM) to solve for elasto-plastic problems in Geomechanics.☆20Oct 28, 2021Updated 4 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆29Sep 20, 2022Updated 3 years ago
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆11Dec 27, 2022Updated 3 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆30Oct 22, 2024Updated last year