The perils of machine learning in designing new chemicals and materials
Crossref DOI link: https://doi.org/10.1038/s42256-022-00481-9
Published Online: 2022-04-22
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Shankar, Sadasivan
Zare, Richard N. http://orcid.org/0000-0001-5266-4253
Text and Data Mining valid from 2022-04-22
Version of Record valid from 2022-04-22
Article History
First Online: 22 April 2022
Competing interests
: The authors declare no competing interests.
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