Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).
☆640May 6, 2023Updated 3 years ago
Alternatives and similar repositories for mat2vec
Users that are interested in mat2vec are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code to access the Matscholar public API.☆70Jun 2, 2021Updated 5 years ago
- Codes for text-mined solid-state reactions dataset☆95Oct 7, 2023Updated 2 years ago
- A knowledge graph for Materials Science.☆77Nov 4, 2024Updated last year
- Extracts tables into json format from HTML/XML files☆39May 12, 2020Updated 6 years ago
- Word2Vec model trained across 640k+ materials science journal articles☆53Sep 14, 2017Updated 8 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Utility to compile string of chemical terms into data structure with chemical formula and composition☆13Sep 17, 2021Updated 4 years ago
- Public release of data and code for materials synthesis generation☆76Aug 11, 2022Updated 3 years ago
- ChemDataExtractor toolkit updated to include semi-supervised quaternary relationship extraction☆13Feb 8, 2021Updated 5 years ago
- Plots for "Machine-learned and codified synthesis parameters of oxide materials" in the journal Scientific Data☆14Jul 6, 2017Updated 9 years ago
- Data mining for materials science☆606Jul 13, 2026Updated last week
- LimeSoup is a package to parse HTML or XML papers from different publishers.☆20Jan 4, 2021Updated 5 years ago
- Resources related to ACL 2020 paper "The SOFC-Exp Corpus and Neural Approaches to Information Extraction in the Materials Science Domain"☆22Jul 21, 2023Updated 3 years ago
- Automatic generation of crystal structure descriptions.☆140Jun 15, 2026Updated last month
- An automatic engine for predicting materials properties.☆172Nov 12, 2023Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Predict materials properties using only the composition information!☆129Apr 23, 2023Updated 3 years ago
- A repo of examples for the matminer (https://github.com/hackingmaterials/matminer) code☆124Jun 7, 2021Updated 5 years ago
- Automatically extract chemical information from scientific documents☆359Jul 27, 2023Updated 2 years ago
- Representation Learning from Stoichiometry☆61Dec 12, 2022Updated 3 years ago
- 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
- Crystal graph convolutional neural networks for predicting material properties.☆883Sep 6, 2021Updated 4 years ago
- Code for the Materials Scholar website☆10May 2, 2023Updated 3 years ago
- Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals☆559Apr 27, 2023Updated 3 years ago
- ☆14Apr 26, 2018Updated 8 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- MatDeepLearn, package for graph neural networks in materials chemistry☆205Mar 20, 2023Updated 3 years ago
- Finite-size corrections of defect energy levels involving ionic polarization☆11Oct 20, 2022Updated 3 years ago
- Threaded implementation of grid-based Bader charge analysis.☆17Oct 19, 2023Updated 2 years ago
- Learning to Discover Crystallographic Structures with Generative Adversarial Networks☆40Nov 21, 2019Updated 6 years ago
- Visualization for TRI materials network data☆17Jul 18, 2023Updated 3 years ago
- atomate is a powerful software for computational materials science and contains pre-built workflows.☆264Jul 18, 2024Updated 2 years ago
- Common NLP (text mining) tools for materials science and chemistry, for groups at Lawrence Berkeley National Lab (LBNL) and beyond.☆22Jul 8, 2022Updated 4 years ago
- MaterialsCoord: infrastructure to benchmark crystal structure coordination algorithms☆20Mar 13, 2023Updated 3 years ago
- py-sc-fermi is a materials modelling code for calculating self-consistent Fermi energies and defect concentrations under thermodynamic eq…☆33Updated this week
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Code for calculating grouped representation of interatomic distances (GRID) from crystal structures, and applying this in machine learnin…☆12Jun 22, 2023Updated 3 years ago
- Uses publisher APIs to programmatically retrieve scientific journal articles for text mining.☆145Dec 27, 2023Updated 2 years ago
- The Materials Project Workshop Curriculum☆121Mar 1, 2023Updated 3 years ago
- Graph neural network for predicting energy of known and hypothetical crystal structures☆10Jan 26, 2022Updated 4 years ago
- Material Science Aware Language Model☆129Dec 25, 2025Updated 6 months ago
- MODNet: a framework for machine learning materials properties☆112May 2, 2025Updated last year
- Python Workflow Definition - workflow interoperability for aiida, jobflow and pyiron☆18Jul 2, 2026Updated 2 weeks ago