mushrafi88 / Physics-Informed-Neural-Networks-for-Quantum-Dynamics
A repo to learn and curate PINN
☆16Updated 10 months ago
Alternatives and similar repositories for Physics-Informed-Neural-Networks-for-Quantum-Dynamics:
Users that are interested in Physics-Informed-Neural-Networks-for-Quantum-Dynamics are comparing it to the libraries listed below
- Solving PDEs with quantum algorithms: A tutorial at IEEE QCE 2023☆19Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆18Updated last year
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆39Updated 8 months ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆13Updated 3 years ago
- Yet another PINN implementation☆20Updated 9 months ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆16Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries☆39Updated 2 months ago
- A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software☆51Updated last year
- ☆13Updated 4 years ago
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆17Updated 3 years ago
- Slides + Source Code + Data for an introductory course to NumPy, Matplotlib, SciPy, Scikit-Learn & TensorFlow Keras☆25Updated 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…☆47Updated 2 years ago
- Stochastic Physics-Informed Neural Ordinary Differential Equations☆16Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆23Updated 11 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆27Updated 5 months ago
- ☆63Updated last year
- ☆25Updated 8 months ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆12Updated 2 years ago
- Solving the Navier-Stokes Equations in Python 🐍 simply using NumPy.☆12Updated 3 years ago
- Spectral Methods in Python☆53Updated this week
- Transformed Generative Pre-Trained Physics-Informed Neural Networks (TGPT-PINN), a framework that extends Physics-Informed Neural Network…☆14Updated 11 months ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆18Updated 5 months ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- Spectral methods in matlab☆10Updated this week
- ☆29Updated last year
- ☆12Updated 2 weeks ago
- Physics-informed neural networks☆14Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago