View in EDS HTML Full Text PDF Full Text

Revealing ferroelectric switching character using deep recurrent neural networks.

Saved in:
Bibliographic Details
Title: Revealing ferroelectric switching character using deep recurrent neural networks.
Authors: Agar JC; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA. joshua.agar@lehigh.edu.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. joshua.agar@lehigh.edu.; Department of Materials Science and Engineering, Lehigh University, Bethlehem, PA, 18015, USA. joshua.agar@lehigh.edu., Naul B; Department of Astronomy, University of California, Berkeley, Berkeley, CA, 94720, USA., Pandya S; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA., van der Walt S; Berkeley Institute of Data Science, University of California, Berkeley, Berkeley, CA, 94720, USA., Maher J; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA., Ren Y; Department of Materials Science and Engineering, The University of Texas at Arlington, Arlington, TX, 76019, USA., Chen LQ; Department of Materials Science and Engineering, Pennsylvania State University, University Park, PA, 16802-5006, USA., Kalinin SV; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA., Vasudevan RK; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA., Cao Y; Department of Materials Science and Engineering, The University of Texas at Arlington, Arlington, TX, 76019, USA., Bloom JS; Department of Astronomy, University of California, Berkeley, Berkeley, CA, 94720, USA., Martin LW; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA. lwmartin@berkeley.edu.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. lwmartin@berkeley.edu.
Source: Nature communications [Nat Commun] 2019 Oct 22; Vol. 10 (1), pp. 4809. Date of Electronic Publication: 2019 Oct 22.
Publication Type: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: mdl
DbLabel: MEDLINE Ultimate
An: 31641122
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Revealing ferroelectric switching character using deep recurrent neural networks.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AU" term="%22Agar+JC%22">Agar JC</searchLink>; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA. joshua.agar@lehigh.edu.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. joshua.agar@lehigh.edu.; Department of Materials Science and Engineering, Lehigh University, Bethlehem, PA, 18015, USA. joshua.agar@lehigh.edu.<br /><searchLink fieldCode="AU" term="%22Naul+B%22">Naul B</searchLink>; Department of Astronomy, University of California, Berkeley, Berkeley, CA, 94720, USA.<br /><searchLink fieldCode="AU" term="%22Pandya+S%22">Pandya S</searchLink>; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA.<br /><searchLink fieldCode="AU" term="%22van+der+Walt+S%22">van der Walt S</searchLink>; Berkeley Institute of Data Science, University of California, Berkeley, Berkeley, CA, 94720, USA.<br /><searchLink fieldCode="AU" term="%22Maher+J%22">Maher J</searchLink>; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA.<br /><searchLink fieldCode="AU" term="%22Ren+Y%22">Ren Y</searchLink>; Department of Materials Science and Engineering, The University of Texas at Arlington, Arlington, TX, 76019, USA.<br /><searchLink fieldCode="AU" term="%22Chen+LQ%22">Chen LQ</searchLink>; Department of Materials Science and Engineering, Pennsylvania State University, University Park, PA, 16802-5006, USA.<br /><searchLink fieldCode="AU" term="%22Kalinin+SV%22">Kalinin SV</searchLink>; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.<br /><searchLink fieldCode="AU" term="%22Vasudevan+RK%22">Vasudevan RK</searchLink>; Center for Nanophase Materials Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.<br /><searchLink fieldCode="AU" term="%22Cao+Y%22">Cao Y</searchLink>; Department of Materials Science and Engineering, The University of Texas at Arlington, Arlington, TX, 76019, USA.<br /><searchLink fieldCode="AU" term="%22Bloom+JS%22">Bloom JS</searchLink>; Department of Astronomy, University of California, Berkeley, Berkeley, CA, 94720, USA.<br /><searchLink fieldCode="AU" term="%22Martin+LW%22">Martin LW</searchLink>; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, 94720, USA. lwmartin@berkeley.edu.; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, 94720, USA. lwmartin@berkeley.edu.
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22101528555%22">Nature communications</searchLink> [Nat Commun] 2019 Oct 22; Vol. 10 (1), pp. 4809. <i>Date of Electronic Publication: </i>2019 Oct 22.
– Name: TypePub
  Label: Publication Type
  Group: TypPub
  Data: Journal Article; Research Support, U.S. Gov't, Non-P.H.S.; Research Support, Non-U.S. Gov't
– Name: TitleSource
  Label: Journal Info
  Group: Src
  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Pub%2E+Group%22">Nature Pub. Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101528555 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2041-1723 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220411723%22">20411723 </searchLink><i>NLM ISO Abbreviation: </i>Nat Commun <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=31641122
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1038/s41467-019-12750-0
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        StartPage: 4809
    Titles:
      – TitleFull: Revealing ferroelectric switching character using deep recurrent neural networks.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Agar JC
      – PersonEntity:
          Name:
            NameFull: Naul B
      – PersonEntity:
          Name:
            NameFull: Pandya S
      – PersonEntity:
          Name:
            NameFull: van der Walt S
      – PersonEntity:
          Name:
            NameFull: Maher J
      – PersonEntity:
          Name:
            NameFull: Ren Y
      – PersonEntity:
          Name:
            NameFull: Chen LQ
      – PersonEntity:
          Name:
            NameFull: Kalinin SV
      – PersonEntity:
          Name:
            NameFull: Vasudevan RK
      – PersonEntity:
          Name:
            NameFull: Cao Y
      – PersonEntity:
          Name:
            NameFull: Bloom JS
      – PersonEntity:
          Name:
            NameFull: Martin LW
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 22
              M: 10
              Text: 2019 Oct 22
              Type: published
              Y: 2019
          Identifiers:
            – Type: issn-electronic
              Value: 2041-1723
          Numbering:
            – Type: volume
              Value: 10
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Nature communications
              Type: main
ResultId 1