Multi-constraint physics-informed generative adversarial networks (PIGAN) enable small-data learning for urban wind field prediction

Building and Environment 2026

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Authors: Yihan Wu, Zihan Cao, Yubin Lei, Yuxuan Han, Man Yuan, Lihui Wang, Xingang Zhou

DOI: 10.1016/j.buildenv.2026.114202

Cited by: 3

References: 58

Fields of Study & Subjects

Wind and Air Flow Studies Model Reduction and Neural Networks Fluid Dynamics and Vibration Analysis

References 58