Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry (2021)
Attributed to:
Integration of Computation and Experiment for Accelerated Materials Discovery
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1038/s41467-021-25343-7
PubMed Identifier: 34548485
Publication URI: http://europepmc.org/abstract/MED/34548485
Type: Journal Article/Review
Parent Publication: Nature Communications
Issue: 1
ISSN: 2041-1723