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Physics-informed diffusion models for 3D reconstruction of indoor gaseous pollutant fields from sparse measurements

Liang Ma Tengfei An Runhan Zhao Wenli Liu

建筑模拟(英文版)2026,Vol.19Issue(6):1545-1567,23.
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建筑模拟(英文版)2026,Vol.19Issue(6):1545-1567,23.DOI:10.1007/s12273-026-1442-z

Physics-informed diffusion models for 3D reconstruction of indoor gaseous pollutant fields from sparse measurements

Physics-informed diffusion models for 3D reconstruction of indoor gaseous pollutant fields from sparse measurements

Liang Ma 1Tengfei An 1Runhan Zhao 2Wenli Liu1

作者信息

  • 1. School of Civil and Hydraulic Engineering,Huazhong University of Science and Technology,Wuhan 430070,China
  • 2. School of Aerospace Engineering,Huazhong University of Science and Technology,Wuhan 430070,China
  • 折叠

摘要

关键词

indoor air quality/physics-informed diffusion models/indoor gaseous pollutant field reconstruction/sparse sensing

Key words

indoor air quality/physics-informed diffusion models/indoor gaseous pollutant field reconstruction/sparse sensing

引用本文复制引用

Liang Ma,Tengfei An,Runhan Zhao,Wenli Liu..Physics-informed diffusion models for 3D reconstruction of indoor gaseous pollutant fields from sparse measurements[J].建筑模拟(英文版),2026,19(6):1545-1567,23.

基金项目

The authors gratefully acknowledge the support provided by the National Natural Science Foundation of China(No.52192664,No.72171094,No.U21A20151)and the Intergovernmental Cooperation in International Science and Technology Innovation(2024YFE0114400).The authors also thank the anonymous reviewers for their comments and suggestions about improving the manuscript. (No.52192664,No.72171094,No.U21A20151)

建筑模拟(英文版)

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