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首页|期刊导航|建筑模拟(英文版)|Deep learning accelerates the calculation algorithm of multi-physics field inside buildings:A review

Deep learning accelerates the calculation algorithm of multi-physics field inside buildings:A review

Hu Gao Lei Zhuang Yuanyuan Zhang Xu Han Hua Zhang Weixin Qian Jing Liu

建筑模拟(英文版)2025,Vol.18Issue(12):3173-3200,28.
建筑模拟(英文版)2025,Vol.18Issue(12):3173-3200,28.DOI:10.1007/s12273-025-1366-z

Deep learning accelerates the calculation algorithm of multi-physics field inside buildings:A review

Deep learning accelerates the calculation algorithm of multi-physics field inside buildings:A review

Hu Gao 1Lei Zhuang 1Yuanyuan Zhang 1Xu Han 2Hua Zhang 2Weixin Qian 1Jing Liu1

作者信息

  • 1. School of Architecture and Design,Harbin Institute of Technology,Harbin 150090,China||Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology,Ministry of Industry and Information Technology,Harbin 150090,China
  • 2. College of National Defence Engineering,Army Engineering University of PLA,Nanjing 210007,China
  • 折叠

摘要

关键词

deep learning/fast prediction/building environment/computational fluid dynamic/flow field reconstructions

Key words

deep learning/fast prediction/building environment/computational fluid dynamic/flow field reconstructions

引用本文复制引用

Hu Gao,Lei Zhuang,Yuanyuan Zhang,Xu Han,Hua Zhang,Weixin Qian,Jing Liu..Deep learning accelerates the calculation algorithm of multi-physics field inside buildings:A review[J].建筑模拟(英文版),2025,18(12):3173-3200,28.

基金项目

This study was supported by the National Natural Science Foundation of China(grant number 52178072). (grant number 52178072)

建筑模拟(英文版)

1996-3599

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