Institution
University of Lorraine
Education•Nancy, France•
About: University of Lorraine is a education organization based out in Nancy, France. It is known for research contribution in the topics: Population & Nonlinear system. The organization has 11942 authors who have published 25010 publications receiving 425227 citations. The organization is also known as: Lorraine University.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors present an in-depth exploration of integration synergies between 5G/B5G cellular systems and UAV technology, where the UAV is integrated as a new aerial user equipment (UE) to already deployed cellular networks.
88 citations
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TL;DR: LOR can be predicted based on a combination of CRP, TRI and stable ATI with a high degree of accuracy and three independent factors were predictive of LOR after Cox proportional hazards modelling.
88 citations
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TL;DR: In this paper, a method to design a fault-tolerant stabilizing system for a dc-microgrid with CPLs is presented, which consists in implementing a local stabilizing agent on each CPL.
Abstract: It is known that constant power loads (CPLs) can yield instability in dc-power systems under certain operating conditions. This instability phenomenon is due to the interaction between the dc-grid and the negative input impedance characteristic of the CPLs. Dynamic behavior and stability analysis of a dc-microgrid with CPLs is presented in this paper. Then, a method to design a fault-tolerant stabilizing system for a dc-microgrid with CPLs is presented. It consists in implementing a local stabilizing agent on each CPL. Then, a method to design the stabilizing system is proposed. The method is based on the definition and resolution of a constrained optimization problem. It permits to consider several fault scenarios, such as the electrical reconfiguration of the dc-microgrid, or the failure of an agent. To illustrate the method's effectiveness, it has been implemented and experimentally tested on a test bed.
88 citations
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Abstract: This paper focuses on the determination of the bandgap energy bowing parameter of strained and relaxed InxGa1−xN layers. Samples are grown by metal organic vapor phase epitaxy on GaN template substrate for indium compositions in the range of 0
88 citations
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TL;DR: Tight-binding modelling and ab initio density functional theory calculations lead to a full description of the band structure, including the gap size and charge transfer mechanisms, highlighting a strong substrate–molecule interaction that drives the system into a metallic behaviour.
Abstract: On-surface covalent self-assembly of organic molecules is a very promising bottom-up approach for producing atomically controlled nanostructures. Due to their highly tuneable properties, these structures may be used as building blocks in electronic carbon-based molecular devices. Following this idea, here we report on the electronic structure of an ordered array of poly(para-phenylene) nanowires produced by surface-catalysed dehalogenative reaction. By scanning tunnelling spectroscopy we follow the quantization of unoccupied molecular states as a function of oligomer length, with Fermi level crossing observed for long chains. Angle-resolved photoelectron spectroscopy reveals a quasi-1D valence band as well as a direct gap of 1.15 eV, as the conduction band is partially filled through adsorption on the surface. Tight-binding modelling and ab initio density functional theory calculations lead to a full description of the band structure, including the gap size and charge transfer mechanisms, highlighting a strong substrate-molecule interaction that drives the system into a metallic behaviour.
88 citations
Authors
Showing all 12161 results
Name | H-index | Papers | Citations |
---|---|---|---|
Jonathan I. Epstein | 138 | 1121 | 80975 |
Peter Tugwell | 129 | 948 | 125480 |
David Brown | 105 | 1257 | 46827 |
Faiez Zannad | 103 | 839 | 90737 |
Sabu Thomas | 102 | 1554 | 51366 |
Francis Martin | 98 | 733 | 43991 |
João F. Mano | 97 | 822 | 36401 |
Jonathan A. Epstein | 94 | 299 | 27492 |
Muhammad Imran | 94 | 3053 | 51728 |
Laurent Peyrin-Biroulet | 90 | 901 | 34120 |
Athanase Benetos | 83 | 391 | 31718 |
Michel Marre | 82 | 444 | 39052 |
Bruno Rossion | 80 | 337 | 21902 |
Lyn March | 78 | 367 | 62536 |
Alan J. M. Baker | 76 | 234 | 26080 |