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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.

How to deposit?

Useful links: FAQs | Collection Guidelines | NTU Research Data Management | General terms of use and Privacy policy

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52,581 to 52,590 of 71,285 Results
Tan Kwan Wee(Nanyang Technological University)
Tan Kwan Wee logo
Dec 27, 2020School of Materials Science and Engineering (MSE)
Research topics: • Self assembly • Porous materials • Hybrid composite • Nonequilibrium transformation • Green environmental solutions • Urban sustainability Tan Research Group @ NTU
ZIP Archive - 1.2 GB - MD5: ce4fc478984c26ed80a6c83abfb1bd8c
Code
The_GAP8_SDK that contains the compiler and source codes
ZIP Archive - 2.0 MB - MD5: 851043007b84fd2c2599ebd2485c71e1
Documentation
The latex folder of the paper
Adobe PDF - 2.3 MB - MD5: 4a934600b747084740524d91df1c1909
Documentation
The PPT for the conference
Tabular Data - 19.2 KB - 17 Variables, 149 Observations - UNF:6:VrCPbjap40q9aQlCjvdQBA==
Data
The performance of XOR-Net and competing methods.
Tabular Data - 2.3 KB - 6 Variables, 60 Observations - UNF:6:xxq6bqFO6DSue3p5nX3/8Q==
Data
The power consumption of XOR-Net and competing methods.
Zhu Shien(Nanyang Technological University)
Dec 21, 2020LIU Weichen
Python Source Code - 5.1 KB - MD5: 61e9a8084638ab759bbc391f3c8a23f4
Comma Separated Values - 14.8 KB - MD5: ca7760819b3229d663a68c299d2a5681
Python Source Code - 1.4 KB - MD5: 06e5ca30fc3c2394ba28b34f17314576
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