We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
☆102Aug 17, 2023Updated 2 years ago
Alternatives and similar repositories for PhyLSTM
Users that are interested in PhyLSTM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics-guided Convolutional Neural Network☆71Oct 24, 2020Updated 5 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆20Nov 30, 2021Updated 4 years ago
- Deep LSTM for highly nonlinear system modeling☆58Sep 6, 2019Updated 6 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Mar 10, 2025Updated last year
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13May 18, 2020Updated 5 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.
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆99Apr 22, 2024Updated last year
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆13Apr 9, 2024Updated last year
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- This is a more pythonic implementation of OpenSeesPy library to model and analyze structural problems in Jupyter notebooks☆86Jan 4, 2022Updated 4 years ago
- ☆11Jun 14, 2023Updated 2 years ago
- ☆18Dec 22, 2025Updated 3 months ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated last year
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling on Cloudways • AdFully Managed hosting built for WordPress-powered businesses that need reliable, auto-scalable hosting. Cloudways SafeUpdates now available.
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated last year
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆14Sep 15, 2021Updated 4 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- ☆24Jan 7, 2026Updated 2 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆37Nov 13, 2025Updated 4 months ago
- Constitutive Artificial Neural Networks (CANNs) for modeling of hyperelastic materials☆27Mar 11, 2021Updated 5 years ago
- Encoding physics to learn reaction-diffusion processes☆111Aug 28, 2023Updated 2 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆52Jan 10, 2023Updated 3 years ago
- Physics-informed learning of governing equations from scarce data☆169Jul 19, 2023Updated 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.
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year
- 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
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆15Aug 24, 2024Updated last year
- Read-Abaqus-output-from-Matlab☆13Oct 30, 2021Updated 4 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- PyTorch Implementation of Physics-informed Neural Networks☆707May 20, 2024Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆16Sep 7, 2023Updated 2 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Dec 15, 2023Updated 2 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Deep Learning of Vortex Induced Vibrations☆99Feb 21, 2020Updated 6 years ago
- ☆11Jun 30, 2023Updated 2 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆15Dec 21, 2021Updated 4 years ago
- ☆13Jan 23, 2024Updated 2 years ago
- ☆95Nov 25, 2024Updated last year
- Nathan Brown- PhD Research on Engineering Design Using Reinforcement Learning with an emphasis on Material Structure and Metamaterial Des…☆11Sep 26, 2022Updated 3 years ago
- ☆398Dec 3, 2022Updated 3 years ago