Literature DB >> 9981053

Properties of intrinsic point defects in silicon determined by zinc diffusion experiments under nonequilibrium conditions.

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Abstract

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Year:  1995        PMID： 9981053     DOI： 10.1103/physrevb.52.16542

Source DB:  PubMed          Journal:  Phys Rev B Condens Matter        ISSN： 0163-1829


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  3 in total

1.  Moving closer to experimental level materials property prediction using AI.

Authors:  Dipendra Jha; Vishu Gupta; Wei-Keng Liao; Alok Choudhary; Ankit Agrawal
Journal:  Sci Rep       Date:  2022-07-13       Impact factor: 4.996

2.  ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition.

Authors:  Dipendra Jha; Logan Ward; Arindam Paul; Wei-Keng Liao; Alok Choudhary; Chris Wolverton; Ankit Agrawal
Journal:  Sci Rep       Date:  2018-12-04       Impact factor: 4.379

3.  Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning.

Authors:  Dipendra Jha; Kamal Choudhary; Francesca Tavazza; Wei-Keng Liao; Alok Choudhary; Carelyn Campbell; Ankit Agrawal
Journal:  Nat Commun       Date:  2019-11-22       Impact factor: 14.919
  3 in total

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