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                                       Details for article 29 of 30 found articles
 
 
  Universal prediction of strain footprints via simulation, statistics, and machine learning: low-Σ grain boundaries
 
 
Title: Universal prediction of strain footprints via simulation, statistics, and machine learning: low-Σ grain boundaries
Author: Curnan, Matthew T.
Saidi, Wissam A.
Yang, Judith C.
Han, Jeong Woo
Appeared in: Acta Materialia
Paging: Volume 211 () nr. C pages p.
Year: 2021
Contents:
Publisher: Acta Materialia Inc.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 29 of 30 found articles
 
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