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PHYSICS-INFORMED MACHINE LEARNING FOR MULTI-OBJECTIVE OPTIMIZATION IN ADDITIVE MANUFACTURING: A DATA-EFFICIENT APPROACH
THANH-CONG TRUONG, HUYNH NGOC THANH TRUNG, THANH-THAO MAI, THANH-TAM MAI, VINH TRUONG HOANG, QUOC-PHU MA
SOLVING TRANSIENT INVERSE HEAT TRANSFER PROBLEMS IN COMPLEX GEOMETRIES USING PHYSICS-GUIDED NEURAL NETWORKS (PGNN)
D. Emonts, J. Yang, R. H. Schmitt
EXPLAINABLE ARTIFICIAL INTELLIGENCE IN ADDITIVE MANUFACTURING: A SYSTEMATIC REVIEW ON METHOD CONVERGENCE AND ASSESSMENT OF STANDARDIZATION GAPS
QUOC THANH NGUYEN, THANH-CONG TRUONG, THANH PHONG NGUYEN, THANH-NAM TRAN, JAKUB MESICEK, MAREK PAGAC
MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN COLD SPRAY ADDITIVE MANUFACTURING
HOANG-SY NGUYEN, DAC-HUNG HO, QUOC-PHU MA, JANA PETRU
EUV SOURCE AT HiLASE: THE STATE OF THE ART
Chiara Liberatore, Martin Duda, Pawel Sikocinski, Michal Chyla, Akira Endo, Martin Smrz, Tomas Mocek

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