Machine learning-enabled feature classification of evaporation-driven multi-scale 3D printing.

Ghosh, Samannoy; Johnson, Marshall V; Neupane, Rajan; Hardin, James; Berrigan, John Daniel; Kalidindi, Surya R; Kong, Yong Lin

Ghosh, Samannoy; Johnson, Marshall V; Neupane, Rajan; Hardin, James; Berrigan, John Daniel; Kalidindi, Surya R; Kong, Yong Lin.

Afiliação

Ghosh S; Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Johnson MV; Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30313, USA.
Neupane R; Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.
Hardin J; Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH, USA.
Berrigan JD; Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson Air Force Base, OH, USA.
Kalidindi SR; Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Atlanta, GA, 30313, USA.
Kong YL; Department of Mechanical Engineering, University of Utah, Salt Lake City, UT, 84112, USA.

Flex Print Electron ; 7(1)2022 Mar.

Article em En | MEDLINE | ID: mdl-35528227

Palavras-chave

3D printed electronics; additive manufacturing; feature classification with machine learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Flex Print Electron Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

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