Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry



Vasylenko, Andrij, Gamon, Jacinthe, Duff, Benjamin B ORCID: 0000-0002-7398-5002, Gusev, Vladimir V, Daniels, Luke M ORCID: 0000-0002-7077-6125, Zanella, Marco ORCID: 0000-0002-6164-6169, Shin, J Felix, Sharp, Paul M, Morscher, Alexandra, Chen, Ruiyong ORCID: 0000-0002-5340-248X
et al (show 7 more authors) (2021) Element selection for crystalline inorganic solid discovery guided by unsupervised machine learning of experimentally explored chemistry. NATURE COMMUNICATIONS, 12 (1).

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Item Type: Article
Divisions: Faculty of Science and Engineering > School of Physical Sciences
Depositing User: Symplectic Admin
Date Deposited: 29 Sep 2021 13:27
Last Modified: 01 Sep 2022 00:11
DOI: 10.1038/s41467-021-25343-7
Open Access URL: https://doi.org/10.1038/s41467-021-25343-7
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3138698