Accelerated discovery of 3D printing materials using data-driven multiobjective optimization

Author(s)
Erps, Timothy; Foshey, Michael; Luković, Mina Konaković; Shou, Wan; Goetzke, Hanns Hagen; ... Show more
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Creative Commons Attribution NonCommercial License 4.0 https://creativecommons.org/licenses/by-nc/4.0/
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Abstract
<jats:p>Machine learning can aid the discovery of useful 3D printing material formulations.</jats:p>
Date issued
2021
URI
https://hdl.handle.net/1721.1/143789
Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Journal
Science Advances
Publisher
American Association for the Advancement of Science (AAAS)
Citation
Erps, Timothy, Foshey, Michael, Luković, Mina Konaković, Shou, Wan, Goetzke, Hanns Hagen et al. 2021. "Accelerated discovery of 3D printing materials using data-driven multiobjective optimization." Science Advances, 7 (42).
Version: Final published version
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