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Active meta-learning for predicting and selecting perovskite crystallization experiments.
Shekar, Venkateswaran; Nicholas, Gareth; Najeeb, Mansoor Ani; Zeile, Margaret; Yu, Vincent; Wang, Xiaorong; Slack, Dylan; Li, Zhi; Nega, Philip W; Chan, Emory M; Norquist, Alexander J; Schrier, Joshua; Friedler, Sorelle A.
Afiliación
  • Shekar V; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Nicholas G; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Najeeb MA; Department of Chemistry, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Zeile M; Department of Chemistry, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Yu V; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Wang X; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Slack D; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Li Z; The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
  • Nega PW; The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
  • Chan EM; The Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
  • Norquist AJ; Department of Chemistry, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
  • Schrier J; Department of Chemistry, Fordham University, 441 E. Fordham Road, Bronx, New York 10458, USA.
  • Friedler SA; Department of Computer Science, Haverford College, 370 Lancaster Avenue, Haverford, Pennsylvania 19041, USA.
J Chem Phys ; 156(6): 064108, 2022 Feb 14.
Article en En | MEDLINE | ID: mdl-35168359

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Phys Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Chem Phys Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos