Use of Bayesian Optimization to understand the structure of nuclei-Reference-Cited by-同舟云学术

Use of Bayesian Optimization to understand the structure of nuclei

Published:2022-02 Issue: Volume:512 Page:6-11
ISSN:0168-583X
Container-title:Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms
language:en
Short-container-title:Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms

Author:

Hooker J.,Kovoor J.^ORCID,Jones K.L.^ORCID,Kanungo R.,Alcorta M.^ORCID,Allen J.^ORCID,Andreoiu C.,Atar L.,Bardayan D.W.,Bhattacharjee S.S.,Blankstein D.^ORCID,Burbadge C.,Burcher S.^ORCID,Catford W.N.^ORCID,Cha S.,Chae K.,Connolly D.^ORCID,Davids B.,Esker N.^ORCID,Garcia F.H.,Gillespie S.,Ghimire R.^ORCID,Gula A.^ORCID,Hackman G.,Hallam S.,Hellmich M.,Henderson J.,Holl M.^ORCID,Jassal P.,King S.,Knight T.,Kruecken R.^ORCID,Lepailleur A.,Liang J.,Morrison L.,O’Malley P.D.,Pain S.D.^ORCID,Pereira-Lopez X.^ORCID,Psaltis A.^ORCID,Radich A.,Shotter A.C.,Vostinar M.^ORCID,Williams M.^ORCID,Workman O.

Funder

Office of Science

Canada Foundation for Innovation

Nuclear Physics

STFC

Oak Ridge National Laboratory

National Research Foundation of Korea

National Science Foundation

Nova Scotia Research Innovation Trust

Ministry of Science and ICT, South Korea

TRIUMF

NSERC

NSF

US Department of Energy

Publisher

Elsevier BV

Subject

Instrumentation,Nuclear and High Energy Physics

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