Predicting the Band Gaps of Inorganic Solids by Machine Learning.

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Journal of Physical Chemistry Letters

• Publication date

  2018-03-13

• Fields of study

  Medicine, Materials Science, Physics, Computer Science

• Identifiers
  DOI 10.1021/acs.jpclett.8b00124PMID 29532658
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

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