1 to 10 of 2,069 Results
Dec 7, 2022 - Zhou Yang
Zhou, Yang; Long, Yi, 2022, "Fully Printed Flexible Smart Hybrid Hydrogels", https://doi.org/10.21979/N9/XPJADM, DR-NTU (Data), V1
A printable hybrid hydrogel is fabricated by embedding poly(N-isopropylacrylamide) (PNIPAm) microparticles within a water-rich silica-alumina (Si/Al)-based gel matrix. The hybrid gel holds water content of up to 70 wt%, due to its unique Si/Al matrix. The hybrid hydrogel can resp... |
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)
Appointment: Senior Research Fellow The dataverse is used for the machine learning of perovskites. It includes the feature data of perovskites and molecular dynamics simulations. |
Dec 1, 2022 - Digital Signal Processing Laboratory
Ooi, Kenneth; Ong, Zhen-Ting; Watcharasupat, Karn N.; Lam, Bhan; Hong, Joo Young; Gan, Woon-Seng, 2022, "ARAUS: A Large-Scale Dataset and Baseline Models of Affective Responses to Augmented Urban Soundscapes", https://doi.org/10.21979/N9/9OTEVX, DR-NTU (Data), V3
This repository contains the ARAUS dataset, a publicly-available dataset (comprising a 5-fold training/validation set and an independent test set) of 25,440 unique subjective perceptual responses to augmented soundscapes presented as audio-visual stimuli. Each augmented soundscap... |
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... |
