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  SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates

Ouyang, R., Curtarolo, S., Ahmetcik, E., Scheffler, M., & Ghiringhelli, L. M. (in press). SISSO: a compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates. Physical Review Materials.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0001-A468-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0001-ACAD-B
Genre: Journal Article

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 Creators:
Ouyang, Runhai, Author
Curtarolo, Stefano1, Author           
Ahmetcik, Emre1, Author           
Scheffler, Matthias1, Author           
Ghiringhelli, Luca M.1, Author           
Affiliations:
1Theory, Fritz Haber Institute, Max Planck Society, ou_634547              

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Language(s): eng - English
 Dates: 2018-06-23
 Publication Status: Accepted / In Press
 Pages: 12
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: -
 Degree: -

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Title: Physical Review Materials
  Abbreviation : Phys. Rev. Mat.
Source Genre: Journal
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Publ. Info: College Park, MD : American Physical Society
Pages: 12 Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 2475-9953
CoNE: https://pure.mpg.de/cone/journals/resource/2475-9953