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                                       Details for article 4 of 16 found articles
 
 
  A machine learning perspective on the inverse indentation problem: uniqueness, surrogate modeling, and learning elasto-plastic properties from pile-up
 
 
Title: A machine learning perspective on the inverse indentation problem: uniqueness, surrogate modeling, and learning elasto-plastic properties from pile-up
Author: Jiao, Quan
Chen, Yongchao
Kim, Jong-hyoung
Han, Chang-Fu
Chang, Chia-Hua
Vlassak, Joost J.
Appeared in: Journal of the mechanics and physics of solids
Paging: Volume 185 () nr. C pages p.
Year: 2024
Contents:
Publisher: Elsevier Ltd
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 4 of 16 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands