Deep learning based nanoindentation method for evaluating mechanical properties of polymers-Reference-Cited by-同舟云学术

Deep learning based nanoindentation method for evaluating mechanical properties of polymers

Published:2023-05 Issue: Volume:246 Page:108162
ISSN:0020-7403
Container-title:International Journal of Mechanical Sciences
language:en
Short-container-title:International Journal of Mechanical Sciences

Author:

Park Soowan,Marimuthu Karuppasamy Pandian,Han Giyeol,Lee Hyungyil^ORCID

Funder

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Condensed Matter Physics,General Materials Science,Civil and Structural Engineering,Ocean Engineering,Aerospace Engineering,Applied Mathematics

Reference76 articles.

1. Dynamic constitutive model of ultra-high molecular weight polyethylene (UHMWPE): considering the temperature and strain rate effects;Zhang;Polymers (Basel),2020

2. Temperature dependent dynamic strain localization and failure of ductile polymeric rods under large deformation;Zhang;Int J Mech Sci,2021

3. Polymers for flexible displays: from material selection to device applications;Choi;Progr Polymer Sci (Oxford),2008

4. Nanoindentation of zirconium based bulk metallic glass and its nanomechanical properties;Marimuthu;J Mater Res Technol,2020

5. Analytical techniques for indentation of viscoelastic materials;Oyen;Philos Mag,2006

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