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

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

<jats:p>Machine learning can aid the discovery of useful 3D printing material formulations.</jats:p>

Bibliographic Details
Main Authors: Erps, Timothy (Author), Foshey, Michael (Author), Luković, Mina Konaković (Author), Shou, Wan (Author), Goetzke, Hanns Hagen (Author), Dietsch, Herve (Author), Stoll, Klaus (Author), von Vacano, Bernhard (Author), Matusik, Wojciech (Author)
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS), 2022-07-18T12:42:05Z.
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Online Access:Get fulltext
Description
Summary:<jats:p>Machine learning can aid the discovery of useful 3D printing material formulations.</jats:p>

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