1,411 to 1,420 of 3,263 Results
Ke, Yujie; Long, Yi, 2022, "Adaptive Thermochromic Windows from Active Plasmonic Elastomers", https://doi.org/10.21979/N9/XHDA75, DR-NTU (Data), V1
Architectural windows that smartly regulate the indoor solar irradiation are promised to economize the building energy consumption. Here, we demonstrate a method for adaptive, broadband, and highly efficient solar modulation for energy-efficient smart windows through active plasm... |
Vu, Tuan Duc; Xie, Hong; Wang, Shancheng; Hu, Jiangfeng; Zeng, Xianting; Long, Yi, 2022, "Durable vanadium dioxide with 33-year service life for smart windows applications", https://doi.org/10.21979/N9/Q68XEX, DR-NTU (Data), V1
The smart window that can regulate sunlight transmittance is one of the simplest solutions to reduce the massive energy consumption of heating, ventilation, and conditioning applications in building services. As a promising smart window material, vanadium dioxide (VO2) is severel... |
Ke, Yujie; Tan, Yutong; Feng, Chengchen; Chen, Cong; Lu, Qi; Long, Yi, 2022, "Tetra-Fish-Inspired aesthetic thermochromic windows toward Energy-Saving buildings", https://doi.org/10.21979/N9/JKGQXE, DR-NTU (Data), V1
The development of architectural windows with adaptive solar modulation is promising to reduce the energy consumption of heating, ventilation, and air conditioning (HVAC). In the work, we report a Tetra-fish-inspired aesthetic thermochromic window based on phase-changed materials... |
Dec 1, 2022 - XU Qiang
Anand, D Vijay; Xu, Qiang; Wee, Junjie; Xia, Kelin; Sum, Tze Chien, 2022, "Replication data for: Topological Feature Engineering for Machine Learning Based Halide Perovskite Materials Design", https://doi.org/10.21979/N9/CVJWZ9, DR-NTU (Data), V1
Accelerated materials development with machine learning (ML) assisted screening and high throughput experimentation for new photovoltaic materials holds the key to addressing our grand energy challenges. Data-driven ML is envisaged as a decisive enabler for new perovskite materia... |
Dec 1, 2022School of Physical and Mathematical Sciences (SPMS)
The dataverse is used for the machine learning of perovskites. It includes the feature data of perovskites and molecular dynamics simulations. |
Nov 30, 2022 - Meng Yun
Meng, Yun; Tan, Yutong; Li, Xin; Cai, Yangjian; Peng, Jinqing; Long, Yi, 2022, "Building-integrated photovoltaic smart window with energy generation and conservation", https://doi.org/10.21979/N9/WAEBYU, DR-NTU (Data), V1
Energy usage in buildings accounts for 40% of global energy consumption, while windows are the least energyefficient part of buildings. Photovoltaic smart window is an efficient way to improve efficiency of the window. In this work, we proposed a building-integrated photovoltaic... |
Nov 30, 2022 - Meng Yun
Meng, Yun; Li, Xin; Wang, Shancheng; Lau, Chooikim; Hu, Hebing; Ke, Yujie; Tan, Gang; Yang, Junyou; Long, Yi, 2022, "Flexible smart photovoltaic foil for energy generation and conservation in buildings.", https://doi.org/10.21979/N9/J57WGK, DR-NTU (Data), V1, UNF:6:45+dzwMr63cyWcY61eyGVQ== [fileUNF]
Building-integrated solar cells not only generate electricity but also impact the envelope thermal characteristics, thus changing the micro-climate of buildings. Therefore, the collective effects of energy conservation and generation on buildings should be considered in one desig... |
