%0 Journal Article %1 huang2022accelerated %A Huang, Chenyu %A Zhang, Gengjia %A Yao, Jiawei %A Wang, Xiaoxin %A Calautit, John Kaiser %A Zhao, Cairong %A An, Na %A Peng, Xi %D 2022 %I Elsevier %J Building and environment %K ubs_10001 unibibliografie wos %N October %P 109575 %R 10.1016/j.buildenv.2022.109575 %T Accelerated environmental performance-driven urban design with generative adversarial network %V 224

@article{huang2022accelerated, added-at = {2023-03-06T08:39:04.000+0100}, affiliation = {Yao, JW (Corresponding Author), Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China. Yao, JW (Corresponding Author), Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, Minist Educ, Shanghai 200092, Peoples R China. Huang, Chenyu, North China Univ Technol, Sch Architecture & Art, Beijing 100144, Peoples R China. Zhang, Gengjia, Tamkang Univ, Dept Architecture, Taipei City 25137, Taiwan. Yao, Jiawei; An, Na, Tongji Univ, Coll Architecture & Urban Planning, Shanghai 200092, Peoples R China. Yao, Jiawei, Tongji Univ, Key Lab Ecol & Energy Saving Study Dense Habitat, Minist Educ, Shanghai 200092, Peoples R China. Wang, Xiaoxin, Wuhan City Coll, Fac Urban Architecture, Wuhan 430075, Peoples R China. Calautit, John Kaiser, Univ Nottingham, Dept Architecture & Built Environm, Nottingham NG7 2RD, England. Zhao, Cairong, Tongji Univ, Dept Comp Sci & Technol, Shanghai 201804, Peoples R China. Peng, Xi, Univ Stuttgart, Fac Architecture & Urban Planning, Keplerstr 11, D-70174 Stuttgart, Germany.}, author = {Huang, Chenyu and Zhang, Gengjia and Yao, Jiawei and Wang, Xiaoxin and Calautit, John Kaiser and Zhao, Cairong and An, Na and Peng, Xi}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/29d231666a614422b6d6034f646bf1904/unibiblio}, doi = {10.1016/j.buildenv.2022.109575}, interhash = {e9164c098cfbb48fdd88794ea05a5823}, intrahash = {9d231666a614422b6d6034f646bf1904}, issn = {{0360-1323} and {1873-684X}}, journal = {Building and environment}, keywords = {ubs_10001 unibibliografie wos}, language = {eng}, number = {October}, pages = 109575, publisher = {Elsevier}, research-areas = {Construction & Building Technology; Engineering}, timestamp = {2023-03-06T08:39:04.000+0100}, title = {Accelerated environmental performance-driven urban design with generative adversarial network}, unique-id = {WOS:000863239400002}, volume = 224, year = 2022 }