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Preface to the theme issue 'physics-informed machine learning and its structural integrity applications'.
Zhu, Shun-Peng; De Jesus, Abílio M P; Berto, Filippo; Michopoulos, John G; Iacoviello, Francesco; Wang, Qingyuan.
Affiliation
  • Zhu SP; School of Mechanical and Electrical Engineering, University of Electronic Science and Technology of China, Chengdu 611731, People's Republic of China.
  • De Jesus AMP; INEGI, Faculty of Engineering, University of Porto, Porto 4200-465, Portugal.
  • Berto F; Department of Chemical Engineering, Materials and Environment, Sapienza University of Rome, 00184 Roma, Italy.
  • Michopoulos JG; Computational Multiphysics Systems Lab, Center for Materials Physics and Technology, Naval Research Laboratory, USA.
  • Iacoviello F; Department of Civil and Mechanical Engineering, University of Cassino and Southern Lazio, Cassino, Italy.
  • Wang Q; MOE Key Laboratory of Deep Earth Science and Engineering, College of Architecture and Environment, Sichuan University, Chengdu 610065, People's Republic of China.
Philos Trans A Math Phys Eng Sci ; 381(2260): 20230176, 2023 Nov 13.
Article in En | MEDLINE | ID: mdl-37742706
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Philos Trans A Math Phys Eng Sci Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA Year: 2023 Document type: Article Country of publication: United kingdom
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Philos Trans A Math Phys Eng Sci Journal subject: BIOFISICA / ENGENHARIA BIOMEDICA Year: 2023 Document type: Article Country of publication: United kingdom