Data-driven physics-informed neural networks: a digital twin perspective
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Publication:6566046
DOI10.1016/j.cma.2024.117075MaRDI QIDQ6566046
Unnamed Author, Romit Maulik, Yoonpyo Hong, Namwoo Kang, Hojin Kim, Sunwoong Yang
Publication date: 3 July 2024
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
uncertainty quantificationadaptive samplingdata-driven approachmulti-fidelity modelingphysics-informed neural networksdigital twins
Probabilistic models, generic numerical methods in probability and statistics (65C20) Numerical optimization and variational techniques (65K10)
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