Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data.
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| Title: | Process-Structure Linkages Using a Data Science Approach: Application to Simulated Additive Manufacturing Data. |
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| Authors: | Popova E; 1Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA., Rodgers TM; 2Computational Materials & Data Science, Sandia National Laboratories, PO Box 5800, MS-1411, Albuquerque, NM 87185 USA., Gong X; 3School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA., Cecen A; 4School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA., Madison JD; 5Material Mechanics, Sandia National Laboratories, PO Box 5800 MS-0889, Albuquerque, 87185 NM USA., Kalidindi SR; 1Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.; 3School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA.; 4School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. |
| Source: | Integrating materials and manufacturing innovation [Integr Mater Manuf Innov] 2017; Vol. 6 (1), pp. 54-68. Date of Electronic Publication: 2017 Mar 13. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer-Verlag Country of Publication: Germany NLM ID: 101704487 Publication Model: Print-Electronic Cited Medium: Print ISSN: 2193-9764 (Print) Linking ISSN: 21939764 NLM ISO Abbreviation: Integr Mater Manuf Innov Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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