Work

Machine Learning in Materials Science

Year: 2016

Type: book-chapter

Source: Reviews in computational chemistry

DOI: 10.1002/9781119148739.ch4

Authors: Tim Mueller, Aaron Gilad Kusne, Rampi Ramprasad

Institutions: Johns Hopkins University, National Institute of Standards and Technology, Material Measurement Laboratory, University of Connecticut

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2503343131

FWCI: 97.27

Cites: 199

Cited by: 323

Related to: 10