AdditiveGDL: Generative deep learning for predicting local thermal distributions in metal 3D-printed layers

Research Square 2026 Preprint Open access

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Authors: David Guirguis, Conrad Tucker, Jack Beuth
DOI: 10.21203/rs.3.rs-5257658/v3
Cited by: 0

Fields of Study & Subjects

Additive Manufacturing Materials and Processes Additive Manufacturing and 3D Printing Technologies Machine Learning in Materials Science

Publication details

Journal / source
Research Square
Publication date
27 January 2026
Document type
Preprint