Discover olivettigroup/deep-rl-inorganic Open Source project

Stars
1
Language
Jupyter Notebook
Created 10 months ago
Updated about 2 months ago

olivettigroup

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Code and data for the paper Deep Reinforcement Learning for Inverse Inorganic Materials Design by Karpovich et al.

article-downloader

Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.

Python

117

materials-synthesis-generative-models

Public release of data and code for materials synthesis generation

HTML

materials-word-embeddings

Word2Vec model trained across 640k+ materials science journal articles

Python

table_extractor

Extracts tables into json format from HTML/XML files

HTML

annotated-materials-syntheses

sdata-data-plots

Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data

Jupyter Notebook

MatKG

Code Base for MatKG Dataset paper

Jupyter Notebook

cross-domain-exploration

synthesis-api

Codebase for Synthesis Project API server

Python

OSDA_Generator

Python

synthesis-database-public

Codebase for compiling a database of materials syntheses

Python

NLP4SIB

Datasets and pre-trained models for Munjal, Mrigi, et al. "Scaling Sodium-ion Battery Development with NLP." AI for Accelerated Materials Design-NeurIPS 2023 Workshop. 2023.

Python

phase-sentiment

Jupyter Notebook

interpretable-condition-prediction

Code and data for the paper Interpretable Machine Learning Enabled Inorganic Reaction Classification and Synthesis Condition Prediction by Karpovich et al.

Jupyter Notebook

synthesis-thermo-public

Implementations of material-embedding and thermodynamic-function-learning models

Python

Li-SSE-Processing-Conditions

Public release of data for the processing conditions of Li SSEs

olivettigroup/deep-rl-inorganic

olivettigroup

Reviews

Repository Details

More Repositories