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Deposit, archive and share your final research data in DR-NTU (Data)

DR-NTU (Data) is for research data deposit. For research paper deposits, please use DR-NTU.

Mission: DR-NTU (Data) curates, stores, preserves, makes available and enables the download of digital data generated by the NTU research community. The repository develops and provides guidance for managing, sharing, and reusing research data to promote responsible data sharing in support of open science and research integrity.

Who can deposit? NTU faculty, research staff and students.

What can be deposited? Final, non-sensitive research data from projects carried out at NTU. The uploaded content must not infringe upon the copyrights or other intellectual property rights, and must be void of all identifiable information.

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1,441 to 1,450 of 3,297 Results
Tan Qi Ying(Nanyang Technological University)
Dec 19, 2022Centre for Disruptive Photonic Technologies (CDPT)
Dec 14, 2022 - Anton VETLUGIN
Vetlugin, Anton, 2022, "Replication Data for: Anti-Hong–Ou–Mandel interference by coherent perfect absorption of entangled photons", https://doi.org/10.21979/N9/AKELH1, DR-NTU (Data), V1, UNF:6:1VdNrPt1STFwkJGuSbTQuQ== [fileUNF]
Data for the paper "Anti-Hong–Ou–Mandel interference by coherent perfect absorption of entangled photons"
Dec 14, 2022 - TONG Ping
Tong, Ping, 2022, "Replication Data for: Double-difference adjoint tomography of the crust and uppermost mantle beneath Alaska", https://doi.org/10.21979/N9/MQG8HN, DR-NTU (Data), V1
The final P-wave velocity model of Alaska revealed by double-difference adjoint tomography.
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...
Dec 6, 2022 - Ke Yujie
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...
Dec 1, 2022 - Vu Tuan Duc
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...
Hu Peng(Nanyang Technological University)
Dec 1, 2022Long Yi
Dec 1, 2022 - Ke Yujie
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...
XU Qiang (Nanyang Technological University)
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.
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