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Material-agnostic machine learning approach enables high relative density in powder bed fusion products.
Wang, Jaemin; Jeong, Sang Guk; Kim, Eun Seong; Kim, Hyoung Seop; Lee, Byeong-Joo.
Affiliation
  • Wang J; Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
  • Jeong SG; Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
  • Kim ES; Department of Materials Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
  • Kim HS; Graduate Institute of Ferrous and Eco Materials Technology (GIFT), Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
  • Lee BJ; Center for Heterogenic Metal Additive Manufacturing, Pohang University of Science and Technology (POSTECH), Pohang, 37673, Republic of Korea.
Nat Commun ; 14(1): 6557, 2023 Oct 17.
Article in En | MEDLINE | ID: mdl-37848436
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Year: 2023 Document type: Article
Fulltext
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Nat Commun Year: 2023 Document type: Article