☆22Aug 31, 2020Updated 5 years ago
Alternatives and similar repositories for predict-gibbs-energies
Users that are interested in predict-gibbs-energies are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Software for evaluating pareto-optimal synthesis pathways☆24Jun 10, 2024Updated last year
- Codes and models for "Semi-supervised machine-learning classification of materials synthesis procedures". (https://doi.org/10.1038/s41524…☆10Apr 24, 2022Updated 4 years ago
- Solid-state synthesis science analyzer. Thermo, features, ML, and more.☆27Sep 1, 2022Updated 3 years ago
- Generative deep learning model for inorganic materials☆20Mar 24, 2023Updated 3 years ago
- A program to automatically perform microkinetic modeling and generate microkinetic volcano plots for homogeneous catalysis reactions usin…☆15Apr 24, 2026Updated last month
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- A jupyter widget to select chemical elements from the periodic table.☆16Feb 11, 2025Updated last year
- ☆18Sep 12, 2023Updated 2 years ago
- Public release of data and code for materials synthesis generation☆76Aug 11, 2022Updated 3 years ago
- ☆12Oct 18, 2022Updated 3 years ago
- Brent's code for FTIR deconvolution☆12Dec 17, 2020Updated 5 years ago
- Twin-deep neural network for semi-supervised learning of materials properties☆12Feb 1, 2023Updated 3 years ago
- Codes for text-mined solid-state reactions dataset☆95Oct 7, 2023Updated 2 years ago
- A python package for spectral deconvolution of UV-Vis waveforms☆14Jul 1, 2021Updated 4 years ago
- This module provides a GUI editor tool for editing the parameters of some basic matplotlib plots. The aim is to be able to modify the plo…☆11Oct 28, 2021Updated 4 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…☆12Jun 22, 2023Updated 2 years ago
- MatID is a Python package for identifying and analyzing atomistic systems based on their structure.☆14Aug 26, 2025Updated 9 months ago
- Composition-Conditioned Crystal GAN pytorch code☆41Feb 28, 2022Updated 4 years ago
- Materials Project Documentation☆13Jun 2, 2022Updated 3 years ago
- Python Package for electrochemical analysis☆27Apr 28, 2025Updated last year
- ☆12Mar 12, 2023Updated 3 years ago
- A synthesis planning algorithm designed by Jiadong Chen, Wenhao Sun, in University of Michigan.☆22Aug 27, 2024Updated last year
- ☆35Feb 17, 2022Updated 4 years ago
- Predict materials properties using only the composition information!☆17Jun 4, 2025Updated 11 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- This is the source code of CubicGAN generating cubic crystal structures using improved WGAN.☆10Jun 6, 2022Updated 3 years ago
- A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.☆46Aug 20, 2024Updated last year
- Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data☆14Jul 6, 2017Updated 8 years ago
- ☆19Apr 29, 2024Updated 2 years ago
- SMARTS: 'regular expressions' for chemical structures☆22Jun 21, 2018Updated 7 years ago
- Reaction Network is a Python package for predicting likely inorganic chemical reaction pathways using graph theoretical methods. Project …☆127Feb 4, 2025Updated last year
- New API client for the Materials Project☆174May 21, 2026Updated last week
- ☆23Nov 18, 2023Updated 2 years ago
- Simplifying the discovery and usage of machine-learning ready datasets in materials science and chemistry☆87Jan 22, 2026Updated 4 months ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- ☆104Sep 16, 2025Updated 8 months ago
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆40Nov 21, 2019Updated 6 years ago
- Data mining for materials science☆596May 18, 2026Updated last week
- ⚗️ matador is an aggregator, manipulator and runner of first-principles calculations, written with a bent towards battery 🔋 electrode ma…☆35Feb 1, 2026Updated 3 months ago
- A Python package for adding uncertainties to neural network models of chemical systems.☆27Jul 5, 2022Updated 3 years ago
- A fully featured ASE calculator for xTB☆25Oct 21, 2024Updated last year
- A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code☆122Jun 7, 2021Updated 4 years ago