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Exploring far-from-equilibrium ultrafast polarization control in ferroelectric oxides with excited-state neural network quantum molecular dynamics.
Linker, Thomas; Nomura, Ken-Ichi; Aditya, Anikeya; Fukshima, Shogo; Kalia, Rajiv K; Krishnamoorthy, Aravind; Nakano, Aiichiro; Rajak, Pankaj; Shimmura, Kohei; Shimojo, Fuyuki; Vashishta, Priya.
Afiliação
  • Linker T; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Nomura KI; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Aditya A; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Fukshima S; Department of Physics, Kumamoto University, Kumamoto 860-8555, Japan.
  • Kalia RK; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Krishnamoorthy A; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Nakano A; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
  • Rajak P; Amazon, 410 Terry Ave. North, Seattle, WA 98109-5210 USA.
  • Shimmura K; Department of Physics, Kumamoto University, Kumamoto 860-8555, Japan.
  • Shimojo F; Department of Physics, Kumamoto University, Kumamoto 860-8555, Japan.
  • Vashishta P; Collaboratory for Advanced Computing and Simulations, University of Southern California, Los Angeles, CA 90089-0242, USA.
Sci Adv ; 8(12): eabk2625, 2022 Mar 25.
Article em En | MEDLINE | ID: mdl-35319991

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Clinical_trials Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos