Machine-learning-assisted materials discovery using failed experiments.

Raccuglia, Paul; Elbert, Katherine C; Adler, Philip D F; Falk, Casey; Wenny, Malia B; Mollo, Aurelio; Zeller, Matthias; Friedler, Sorelle A; Schrier, Joshua; Norquist, Alexander J

Raccuglia, Paul; Elbert, Katherine C; Adler, Philip D F; Falk, Casey; Wenny, Malia B; Mollo, Aurelio; Zeller, Matthias; Friedler, Sorelle A; Schrier, Joshua; Norquist, Alexander J.

Afiliación

Raccuglia P; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Elbert KC; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Adler PD; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Falk C; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Wenny MB; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Mollo A; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Zeller M; Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907-2084, USA.
Friedler SA; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Schrier J; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
Norquist AJ; Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.

Nature ; 533(7601): 73-6, 2016 May 05.

Article en En | MEDLINE | ID: mdl-27147027

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Nature Año: 2016 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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