Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data-Reference-Cited by-同舟云学术

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Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data

Published:2017-03 Issue:1 Volume:6 Page:54-68
ISSN:2193-9764
Container-title:Integrating Materials and Manufacturing Innovation
language:en
Short-container-title:Integr Mater Manuf Innov

Author:

Popova Evdokia,Rodgers Theron M.,Gong Xinyi,Cecen Ahmet,Madison Jonathan D.,Kalidindi Surya R.

Funder

National Institute of Standards and Technology

National Science Foundation

Air Force Office of Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,General Materials Science

Link

http://link.springer.com/article/10.1007/s40192-017-0088-1/fulltext.html

Reference80 articles.

1. McDowell DL, Kalidindi SR (2016) The materials innovation ecosystem: a key enabler for the materials genome initiative. MRS Bull 41(04):326–337

2. Drosback M (2014) Materials Genome Initiative: Advances and Initiatives. JOM. 66: 334–335

3. Breneman CM, Brinson LC, Schadler LS, Natarajan B, Krein M, Wu K, & Xu H (2013) Stalking the materials genome: a data-driven approach to the virtual design of nanostructured polymers. Adv Funct Mater 23(46):5746–5752

4. Jain A, Ong SP, Hautier G, Chen W, Richards WD, Dacek S et al (2013) Commentary: The Materials Project: a materials genome approach to accelerating materials innovation. APL Mater 1(1):011002

5. Holdren JP (2011) Materials genome initiative for global competitiveness. National Science and Technology Council OSTP. Washington, USA

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