A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
https://orcid.org/0000-0001-6005-1051
Convolutional neural networks-based surrogate model for fast computational fluid dynamics simulations of indoor airflow distribution
Energy and Buildings
Zhang, Wenkai (author) / Zhang, Chaobo (author) / Zhao, Yang (author) / Wang, Zihan (author) / Liu, Yuce (author) / Zhou, Chaohui (author) / Hu, Yue (author)
Energy and Buildings ; 326 ; 115020
2025-01-01
Article (Journal)
Electronic Resource
English
Coupled Outdoor and Indoor Airflow Prediction for Buildings Using Computational Fluid Dynamics (CFD)
| DOAJ | 2013
| Taylor & Francis Verlag | 2018
| Taylor & Francis Verlag | 2025