491 to 500 of 543 Results
Gong, Jun; Chen, Peng, 2022, "Graphene Quantum Dots Assisted Exfoliation of Atomically-thin 2D Materials and As-formed 0D/2D van der Waals Heterojunction for HER", https://doi.org/10.21979/N9/UZIK0N, DR-NTU (Data), V2, UNF:6:Cqe4Zh57FSIscgjU/DNOZA== [fileUNF]
Atomically-thin 2D materials have changed the landscapes of many fields. Their applications however are limited by lack of methods for readily and scalable production with high quality. Herein, a simple strategy is reported to exfoliate pristine single or few-layered 2D materials... |
Zhang, Weiqing; Chen, Peng, 2022, "Facet-Dependent Catalytic Performance of Au Nanocrystals for Electrochemical Nitrogen Reduction", https://doi.org/10.21979/N9/BFHEIL, DR-NTU (Data), V1
Nanostructured metal catalysts have attracted great interest due to their extraordinary performance for electrocatalysis including electrochemical nitrogen reduction (ENRR). However, their working mechanisms for ENRR are still not fully understood. Herein, seven monofaceted polyh... |
Zhang, Weiqing; Chen, Peng, 2022, "Enhancing Electrochemical Nitrogen Reduction of Ru Nanowire by Atomic Decoration of Pt", https://doi.org/10.21979/N9/JSICXW, DR-NTU (Data), V1
Achieving efficient electrochemical nitrogen reduction (ENRR) remains as a great challenge. Therefore, it is demanded to develop new strategy for ENRR catalyst engineering. Herein, we demonstrate largely improved ENRR by controllably engineering Ru nanowires with atomic decoratio... |
Feb 24, 2022 - Yang Liudongqing
Yang, Liudongqing, 2022, "Replication Data for: Atmospheric Chemistry of Organic Aerosols: A Singapore Case Study", https://doi.org/10.21979/N9/CNHTJL, DR-NTU (Data), V1, UNF:6:9ID1jV5W92/WFmJ9xr4Igg== [fileUNF]
This dataset contains chemical and optical measurements of PM2.5 aerosols collected in Singapore. This dataset is part of a PhD thesis submitted to NTU. |
Feb 23, 2022Emma Mary HILL
Sumatra Fault Monitoring (SuMo) GPS Project. a collaboration GPS campaign Project 2014-2016 EOS - UNIV Bengkulu |
Jenkins, Susanna, 2022, "SM3: Exposure results", https://doi.org/10.21979/N9/OUJPZQ, DR-NTU (Data), V1, UNF:6:FDcNVhI6lRRe/OpeZXvxZw== [fileUNF]
SM3 is a table containing the results of the exposure analysis serving as raw data for all figures and tables presented in the associated paper: Jenkins, S.F., Biass, S., Williams, G.T., Hayes, J.L., Tennant, E., Yang, Q., Burgos, V., Meredith, E.S., Lerner, G.A., Syarifuddin, M.... |
Feb 22, 2022 - Evaluating and ranking Southeast Asia’s exposure to explosive volcanic hazards
Jenkins, Susanna, 2022, "SM2: Eruption Frequency-Magnitude", https://doi.org/10.21979/N9/CGKS6C, DR-NTU (Data), V1, UNF:6:T+beI+7tF3PekU7mZCjrXg== [fileUNF]
SM2 is an Excel file containing the calculated annual probability of occurrence for eruptions of VEI [3, 4, 5] for each volcano, as estimated by the method of Hayes et al. (in prep.). For each VEI, the 10%, 50% and 90% probabilities of the distribution are shown. The estimates re... |
Jenkins, Susanna, 2022, "SM1 - Hazard model outputs", https://doi.org/10.21979/N9/B80UMQ, DR-NTU (Data), V1
'SM1 - Hazard model outputs' includes a .zip file with all of the hazard model outputs from the paper 'Evaluating and ranking Southeast Asia's exposure to explosive volcanic hazards' and a .pdf file describing the data: 'SM1 - Hazard model outputs - description'. |
Feb 22, 2022VHARG
Supplementary Material associated with the paper 'Evaluating and ranking Southeast Asia's exposure to explosive volcanic hazards' |
