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:
- Library for solving time dependent PDEs in FEniCS using Runge-Kutta ESDIRK methods☆13Updated 5 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆12Updated 3 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Python package for analyzing and representing droplets and emulsions☆12Updated 3 months ago
- Reaction diffusion system prediction based on convolutional neural network☆17Updated 2 years ago
- The 'dwsimopt' is a Python library that automates DWSIM simulations for process optimization.☆22Updated 2 years ago
- Chemical Reaction Neural Network☆92Updated last year
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- This repository has properties for different groups of material. The main idea is to provide accesible properties for comparison.☆14Updated 5 years ago
- Learn essential numerical methods for chemical engineering applications with practical Python and MATLAB examples.☆24Updated last year
- Introduction to Python for Chemical Engineers☆22Updated 2 years ago
- Using PINN to predict cyclic voltammetry with knowledge of only boundary condition and diffusion law☆19Updated 5 months ago
- Bayesian optimized physics-informed neural network for parameter estimation☆32Updated 9 months ago
- ☆16Updated 3 weeks ago
- ☆18Updated 10 months ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆51Updated last year
- Machine learning algorithms for discovering dimensionless groups from simulation and experimental data☆13Updated 2 years ago
- Modeling and Simulation of Multicomponent Distillation Columns☆33Updated last year
- Physics-Informed Neural Networks for Solving Multiscale Mode-Resolved Phonon Boltzmann Transport Equation☆22Updated 3 years ago
- Open-source pipeline to create augmented reality (AR) models from scientific data☆23Updated 2 years ago
- Reinforcement learning for chemical engineering process design with Aspen Simulator.☆15Updated 2 years ago
- Deep reinforcement learning for design of distillation column trains (chemical engineering process synthesis)☆38Updated 3 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- A curated list of awesome resources on using machine learning and data science for discovery of physical laws☆35Updated 5 years ago
- TauFactor is a parallelised solver for calculating tortuosity factors from voxel data.☆31Updated 4 months ago
- ☆17Updated 8 months ago
- We present cod-bench containing 12 operators and 10 datasets.☆11Updated last year
- ☆30Updated 7 years ago
- ☆25Updated 5 years ago
- Files for the MSE2001 course Introduction to Python for Materials Engineers☆55Updated last year