JuntaoHuang / multiscale-chemical-reactionLinks
This repo contains the code for the paper "Data-driven discovery of multiscale chemical reactions governed by the law of mass action"
☆10Updated 3 years ago
Alternatives and similar repositories for multiscale-chemical-reaction
Users that are interested in multiscale-chemical-reaction are comparing it to the libraries listed below
Sorting:
- Python package for analyzing and representing droplets and emulsions☆13Updated 2 months ago
- Library for solving time dependent PDEs in FEniCS using Runge-Kutta ESDIRK methods☆13Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 5 years ago
- Bayesian optimized physics-informed neural network for parameter estimation☆32Updated 8 months ago
- The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.☆22Updated 2 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆50Updated last year
- Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)☆38Updated 3 years ago
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Reaction diffusion system prediction based on convolutional neural network☆17Updated 2 years ago
- A curated list of awesome resources on using machine learning and data science for discovery of physical laws☆35Updated 5 years ago
- Open-source pipeline to create augmented reality (AR) models from scientific data☆23Updated 2 years ago
- PyStokes: phoresis and Stokesian hydrodynamics in Python. github.com/rajeshrinet/pystokes☆47Updated 4 months ago
- Chemical Reaction Neural Network☆91Updated last year
- Reinforcement learning for chemical engineering process design with Aspen Simulator.☆14Updated 2 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- ☆18Updated 9 months ago
- Rheology-informed Machine Learning Projects☆20Updated last year
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 6 months ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- mechanics, statistical mechanics, fluid dynamics, thermodynamics, quantum mechanics, electromagnetism☆30Updated 5 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Updated 2 years ago
- mechanoChemML library☆17Updated last month
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Updated 4 years ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆18Updated 2 years ago
- A tutorial for students that surveys basic ML techniques in ipython notebook format.☆27Updated 5 years ago