Physically guided neural network based on transfer learning (TL-PGNN) for hypersonic heat flux prediction

DOI10.4208/CICP.OA-2023-0308MaRDI QIDQ6620383

Xiaoxiao Song, Jifa Zhang, Shuai Zhang, Biao Chen, Yao Zheng

Publication date: 16 October 2024

Published in: Communications in Computational Physics (Search for Journal in Brave)

zbMATH Keywords

transfer learningsmall datasetsheat flux predictionTL-PGNN

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Hypersonic flows (76K05)

Cites Work

• Stagnation point heat flux characterization under numerical error and boundary conditions uncertainty
• A composite neural network that learns from multi-fidelity data: application to function approximation and inverse PDE problems
• CRITICAL HYPERSONIC AEROTHERMODYNAMIC PHENOMENA

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