Revealing ferroelectric switching character using deep recurrent neural networks.
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| Title: | Revealing ferroelectric switching character using deep recurrent neural networks. |
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| 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 |
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| ISSN: | 2041-1723 |
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| DOI: | 10.1038/s41467-019-12750-0 |
