Versions

Description

A materials discovery algorithm geared towards exploring high-performance candidates in new chemical spaces.

Repository

https://github.com/sparks-baird/mat_discover.git

Project Slug

mat-discover

Last Built

2 days, 10 hours ago passed

Maintainers

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Tags

clustering, machine-learning, discover, composition, materials-science, bayesian-optimization, umap, design-of-experiments, adaptive-learning, dimensionality-reduction, materials-informatics, materials-screening, experimental-design, materials-discovery, novel-materials, adaptive-design, iterative-design, elm2d, chemical-formula, suggest-next-experiment, materials-project, wasserstein, taylor-sparks, pychemia, sequential-learning, earth-movers-distance, crabnet, hdbscan, predict-materials-properties, elmd, densmap, chemical-uniqueness, chemical-distance, composition-based-feature-vector, university-of-utah, element-movers-distance, mat-discover-github, mat-discover, sterling-baird, chemistry-design, fractional-prevalence, bulk-modulus, matdiscover

Short URLs

mat-discover.readthedocs.io
mat-discover.rtfd.io

Default Version

latest

'latest' Version

main