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Approaching the adiabatic timescale with machine learning.
Henson, Bryce M; Shin, Dong K; Thomas, Kieran F; Ross, Jacob A; Hush, Michael R; Hodgman, Sean S; Truscott, Andrew G.
Afiliação
  • Henson BM; Laser Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, ACT 2601, Australia; andrew.truscott@anu.edu.au Bryce.Henson@anu.edu.au.
  • Shin DK; Laser Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, ACT 2601, Australia.
  • Thomas KF; School of Mathematics and Physics, University of Queensland, Brisbane, QLD 4072, Australia.
  • Ross JA; Laser Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, ACT 2601, Australia.
  • Hush MR; School of Engineering and Information Technology, University of New South Wales at the Australian Defence Force Academy, Canberra, ACT 2600, Australia.
  • Hodgman SS; Laser Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, ACT 2601, Australia.
  • Truscott AG; Laser Physics Centre, Research School of Physics and Engineering, Australian National University, Canberra, ACT 2601, Australia; andrew.truscott@anu.edu.au Bryce.Henson@anu.edu.au.
Proc Natl Acad Sci U S A ; 115(52): 13216-13221, 2018 12 26.
Article em En | MEDLINE | ID: mdl-30530651
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article