2,901 to 2,910 of 3,307 Results
Jul 5, 2019 - Liew Chi Hin Timothy
Liew, Timothy Chi Hin, 2019, "Replication Data for: Probabilistic solving of NP-hard problems with bistable nonlinear optical networks", https://doi.org/10.21979/N9/TIN27I, DR-NTU (Data), V1
.zip file containing data corresponding to the figures in the published journal article. Please refer to readme file for more information on the data files |
Jul 5, 2019 - HOCAMOSE Project
Robert, Caroline, 2019, "S2 Meal Planning and Delivery", https://doi.org/10.21979/N9/CRRGMH, DR-NTU (Data), V1, UNF:6:i6yB3LVMBlCYzOYuiN8ubw== [fileUNF]
Data set for S2 Meal Planning and Delivery (pre-post test study) |
Jul 2, 2019Kimberly Kline
Our laboratory is working to understand the bacterial factors that contribute to colonization, biofilm formation, and infection by E. faecalis and related pathogens. |
Jul 2, 2019School of Biological Sciences (SBS)
Research topics: • To understand new aspects of fundamental biological processes and to identify novel anti-infective and therapeutic targets |
Jul 2, 2019 - Myanmar-India-Bangladesh-Bhutan GPS project data
Mallick, Rishav, 2019, "2d modeling code for MIBB transects", https://doi.org/10.21979/N9/7XTLF0, DR-NTU (Data), V1
This repository contains code used to do 2d analysis for the MIBB 2019 paper (Mallick et al., 2019). This was published in the supplementary of the paper. |
Jun 28, 2019 - charge carrier mobility
Hao, Wei, 2019, "Related Data for: Polymer/Graphene Composite With Ultrahigh Carrier Mobility", https://doi.org/10.21979/N9/H5EF7T, DR-NTU (Data), V1
This dataset contains the atomic models of Polymer/Graphene Composite and the related simulation results of the charge carrier mobility. |
Jun 28, 2019Hao Wei
Screening Semiconductive Polymer/Graphene Composite With Ultrahigh Carrier Mobility |
Jun 28, 2019 - nanoparticles superlattice
Shi Wenxiong, 2019, "Replication Data for: Quantitative Prediction of Position and Orientation for Platonic Nanoparticles at Liquid/Liquid Interfaces", https://doi.org/10.21979/N9/4OC5RI, DR-NTU (Data), V1
Because of their intrinsic geometric structure of vertices, edges, and facets, Platonic nanoparticles are promising materials in plasmonics and biosensing. Their position and orientation often play a crucial role in determining the resultant assembly structures at a liquid/liquid... |
Jun 28, 2019Hao Wei
Tunable Superlattice Of Nonspherical Metallic NanoparticlesAt Water/Oil Interfaces |
