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

1 day, 20 hours ago passed

Maintainers

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Tags

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

Short URLs

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

Default Version

latest

'latest' Version

main