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olivettigroup

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

article-downloader

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

Python

112

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

synthesis-api

Codebase for Synthesis Project API server

Python

cross-domain-exploration

OSDA_Generator

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

synthesis-database-public

Codebase for compiling a database of materials syntheses

Python

phase-sentiment

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

deep-rl-inorganic

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

Jupyter Notebook

olivettigroup/interpretable-condition-prediction

olivettigroup

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