zxgcqupt / PINNs4SRALinks
☆13Updated 10 months ago
Alternatives and similar repositories for PINNs4SRA
Users that are interested in PINNs4SRA are comparing it to the libraries listed below
Sorting:
- Multi-fidelity regression with neural networks☆15Updated 11 months ago
- Multi-head attention network for airfoil flow field prediction☆15Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆15Updated 10 months ago
- ☆17Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆25Updated 2 weeks ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Updated 3 years ago
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆12Updated 3 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆27Updated 2 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- ☆39Updated 2 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆11Updated 6 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated 4 months ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆19Updated last year
- Data preprocess method on Physics-informed neural networks☆22Updated 8 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆96Updated 2 years ago
- Official Code for ICML 2024 paper "TENG: Time-Evolving Natural Gradient for Solving PDEs With Deep Neural Nets Toward Machine Precision"☆12Updated 11 months ago
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 11 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆22Updated 6 months ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Data-guided physics-informed neural networks☆14Updated last year
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆17Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- ☆12Updated 11 months ago
- ☆42Updated 2 years ago
- ☆26Updated 3 years ago
- PECANNs: Physics and Equality Constrained Artificial Neural Networks☆24Updated 2 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23Updated 3 years ago