Prediction of microscale plastic strain rate fields in two-phase composites subjected to an arbitrary macroscale strain rate using the materials knowledge system framework-Reference-Cited by-同舟云学术

Prediction of microscale plastic strain rate fields in two-phase composites subjected to an arbitrary macroscale strain rate using the materials knowledge system framework

Published:2017-12 Issue: Volume:141 Page:230-240
ISSN:1359-6454
Container-title:Acta Materialia
language:en
Short-container-title:Acta Materialia

Author:

Montes de Oca Zapiain David,Popova Evdokia,Kalidindi Surya R.^ORCID

Funder

Office of Naval Research

Publisher

Elsevier BV

Subject

Metals and Alloys,Polymers and Plastics,Ceramics and Composites,Electronic, Optical and Magnetic Materials

Reference53 articles.

1. Microstructure sensitive design for performance optimization;Fullwood;Prog. Mater. Sci.,2010

2. A National Strategic Plan for Advanced Manufacturing;Holdren,2012

3. Materials data science: current status and future outlook;Kalidindi;Annu. Rev. Mater. Res.,2015

4. Vision for data and informatics in the future materials innovation ecosystem;Kalidindi;JOM,2016

5. Materials Genome Initiative for Global Competitiveness;Science,2011

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