Institution
University of Wollongong
Education•Wollongong, New South Wales, Australia•
About: University of Wollongong is a education organization based out in Wollongong, New South Wales, Australia. It is known for research contribution in the topics: Population & Graphene. The organization has 15674 authors who have published 46658 publications receiving 1197471 citations. The organization is also known as: UOW & Wollongong University.
Topics: Population, Graphene, Mental health, Anode, Lithium
Papers published on a yearly basis
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TL;DR: Luminescence dating comprises a collection of numerical age techniques that are among the most significant chronological tools currently used in Quaternary research as discussed by the authors, including thermoluminecence dating of heated minerals to the development of optical dating methods for sunlightexposed sediments.
260 citations
TL;DR: In this article, the authors report the findings of a study examining the relationship between transformational leadership and work engagement through the mediating role of meaning in work, which is partially mediated by employees' perceptions of meaningful in work.
Abstract: Purpose – This paper reports the findings of a study examining the relationship between transformational leadership and work engagement through the mediating role of meaning in work.Design/methodology/approach – Transformational leadership, work engagement and perceptions of meaning in work were assessed in an empirical study based on a sample of 530 full‐time employees working in Australia.Findings – The results from structural equation modelling reveal that the transformational leadership style influences followers’ attributes of work engagement. The direct relationship between transformational leadership and work engagement was found to be partially mediated by employees’ perceptions of meaning in work.Practical implications – Industry reports show that globally, the number of unengaged employees have increased, costing nations billions in productivity losses. We present a model that could help reduce these losses by providing human resource managers with new insights into developing training programme...
260 citations
TL;DR: Conductive polymers are attractive organic materials for future high-throughput energy storage applications due to their controllable resistance over a wide range, cost-effectiveness, high conductivity (>103 S cm−1), light weight, flexibility, and excellent electrochemical properties as mentioned in this paper.
Abstract: Conductive polymers are attractive organic materials for future high-throughput energy storage applications due to their controllable resistance over a wide range, cost-effectiveness, high conductivity (>103 S cm−1), light weight, flexibility, and excellent electrochemical properties. In particular, conductive polymers can be directly incorporated into energy storage active materials, which are essential for building advanced energy storage systems (ESSs) (i.e. supercapacitors and rechargeable batteries). This review summarizes the synthesis of conductive polymers with different chemical structures in various ways and also addresses their widespread applications for a broader range of ESSs. Moreover, we introduce recent progress in ESS development, including new electroactive polymers, new approaches (i.e. flexible, stretchable, binder-free, hybrid, etc.), and new functions (e.g. color changeable electrochromic materials for displays).
260 citations
University of Southern California1, Northern Arizona University2, MathWorks3, University of Arizona4, Australian National University5, United States Geological Survey6, University of Tasmania7, Australian Antarctic Division8, University of Maryland, College Park9, University of Melbourne10, University of Cambridge11, Spanish National Research Council12, University of Wollongong13, University of Bern14, Ca' Foscari University of Venice15, University of Texas at Austin16, University of Bergen17, Chinese Academy of Sciences18, Norwegian Polar Institute19, National University of Cuyo20, University of Washington21, University of Adelaide22, Victoria University of Wellington23, Swiss Federal Institute for Forest, Snow and Landscape Research24, University of Montpellier25, National Taiwan Ocean University26, Columbia University27, Louisiana State University28, University of Maine29, Arctic and Antarctic Research Institute30, Saint Petersburg State University31, Northumbria University32, Lund University33, Institut national de la recherche scientifique34, Tribhuvan University35, Nepal Academy of Science and Technology36, University of Ottawa37, Université catholique de Louvain38, Hirosaki University39, University of Gothenburg40, Xiamen University41, National Institute of Polar Research42, Japan Agency for Marine-Earth Science and Technology43, Aix-Marseille University44, National Institute of Water and Atmospheric Research45, Russian Academy of Sciences46, Autonomous University of Barcelona47, British Antarctic Survey48, University of Tübingen49, University of the Witwatersrand50, University of Brighton51, Alfred Wegener Institute for Polar and Marine Research52, Université Paris-Saclay53, Sukachev Institute of Forest54, University of Toronto55, University at Buffalo56, Australian Nuclear Science and Technology Organisation57, Aarhus University58, University of Florence59, Pierre-and-Marie-Curie University60, Paul Scherrer Institute61, University of Minnesota62, Concordia University63, University of Regina64, National Centre for Antarctic and Ocean Research65, University of New South Wales66, University of the Ryukyus67, National Oceanic and Atmospheric Administration68, University of Colorado Boulder69, Lehigh University70, Free University of Berlin71, Australian Institute of Marine Science72
TL;DR: A community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative, suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.
Abstract: Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850–2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.
260 citations
TL;DR: In this paper, it was shown that GO dispersions exhibit unique viscoelastic properties, making them a new class of soft materials, and the fundamental insights accrued here provided the basis for the development of fabrication protocols for these two-dimensional soft materials.
Abstract: Here, we show that graphene oxide (GO) dispersions exhibit unique viscoelastic properties, making them a new class of soft materials. The fundamental insights accrued here provide the basis for the development of fabrication protocols for these two-dimensional soft materials, in a diverse array of processing techniques.
260 citations
Authors
Showing all 15918 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Lei Jiang | 170 | 2244 | 135205 |
| Menachem Elimelech | 157 | 547 | 95285 |
| Yoshio Bando | 147 | 1234 | 80883 |
| Paul Mitchell | 146 | 1378 | 95659 |
| Jun Chen | 136 | 1856 | 77368 |
| Zhen Li | 127 | 1712 | 71351 |
| Neville Owen | 127 | 700 | 74166 |
| Chao Zhang | 127 | 3119 | 84711 |
| Jay Belsky | 124 | 441 | 55582 |
| Shi Xue Dou | 122 | 2028 | 74031 |
| Keith A. Johnson | 120 | 798 | 51034 |
| William R. Forman | 120 | 800 | 53717 |
| Yang Li | 117 | 1319 | 63111 |
| Yusuke Yamauchi | 117 | 1000 | 51685 |
| Guoxiu Wang | 117 | 654 | 46145 |