Physics-encoded recurrent convolutional neural network
☆48Jan 3, 2022Updated 4 years ago
Alternatives and similar repositories for PeRCNN
Users that are interested in PeRCNN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Encoding physics to learn reaction-diffusion processes☆111Aug 28, 2023Updated 2 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆32Updated this week
- This repo includes the dataset/code of 3D Convolutional Neural Network for material property prediction☆20Aug 15, 2020Updated 5 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆168May 15, 2024Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆49Sep 5, 2023Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- This repository contains the source code for the research presented in the paper "Exploring hidden flow structures from sparse data throu…☆12Dec 4, 2023Updated 2 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- physics-informed neural network for elastodynamics problem☆160Jan 20, 2022Updated 4 years ago
- ☆15Mar 3, 2022Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆169Jul 19, 2023Updated 2 years ago
- Standardized Non-Intrusive Reduced Order Modeling☆13Nov 30, 2022Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- [MM 2024]☆27Jun 13, 2025Updated 9 months ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Sep 6, 2021Updated 4 years ago
- Python tools for non-intrusive reduced order modeling☆21Jan 31, 2026Updated last month
- The MegaFlow2D dataset package☆24Sep 21, 2023Updated 2 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- ☆39Jul 20, 2023Updated 2 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆38Jul 4, 2015Updated 10 years ago
- CU-BEN serial version: geometric and material nonlinear static and transient dynamic structural analysis/ linear acoustic fluid structure…☆11Apr 19, 2020Updated 5 years ago
- ☆27Jun 12, 2025Updated 9 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69May 22, 2024Updated last year
- ☆12Dec 13, 2024Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆81Apr 10, 2025Updated 11 months ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆20Mar 23, 2023Updated 3 years ago
- ☆29Oct 30, 2023Updated 2 years ago
- Workshops on CFD at the University of Houston☆15Mar 18, 2019Updated 7 years ago
- Physics-informed neural network for solving fluid dynamics problems☆269Jan 28, 2021Updated 5 years ago
- ☆24Jul 25, 2024Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆24May 9, 2021Updated 4 years ago
- ☆10Mar 8, 2023Updated 3 years ago
- Publication of Python code used to train ModalPINN☆11May 5, 2022Updated 3 years ago
- In this work, we present a novel approach that combines the power of Koopman operators and deep neural networks to generate a linear rep…☆11Dec 1, 2025Updated 3 months ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- The Gerris based Solid-Fluid system solver☆13Apr 20, 2021Updated 4 years ago
- The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Complex Physics"☆11May 17, 2024Updated last year
- SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance☆26Updated this week