Institution
Delft University of Technology
Education•Delft, Zuid-Holland, Netherlands•
About: Delft University of Technology is a education organization based out in Delft, Zuid-Holland, Netherlands. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37681 authors who have published 94404 publications receiving 2741710 citations. The organization is also known as: TU-Delft & Technische Hogeschool Delft.
Papers published on a yearly basis
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University of Vienna1, University of Edinburgh2, Massey University3, Newcastle University4, University of Copenhagen5, University of Glasgow6, Massachusetts Institute of Technology7, Boston College8, Fred Hutchinson Cancer Research Center9, University of Aberdeen10, San Diego State University11, Institut national de la recherche agronomique12, University of Birmingham13, Agricultural Research Organization, Volcani Center14, University of Jena15, University of Lausanne16, University of Warwick17, University of Amsterdam18, Delft University of Technology19, Temple University20, Technical University of Denmark21, Columbia University22
TL;DR: In this paper, the authors argue that the ability to predict and manage the function of these highly complex, dynamically changing communities is limited, and that close coordination of experimental data collection and method development with mathematical model building is needed to achieve significant progress in understanding of microbial dynamics and function.
Abstract: The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth’s soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model–experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.
552 citations
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13 Jun 2014TL;DR: An up-to-date survey of the theory of port-Hamiltonian systems is given, emphasizing novel developments and relationships with other formalisms.
Abstract: An up-to-date survey of the theory of port-Hamiltonian systems is given, emphasizing novel developments and relationships with other formalisms. Port-Hamiltonian systems theory yields a systematic framework for network modeling of multi-physics systems. Examples from different areas show the range of applicability. While the emphasis is on modeling and analysis, the last part provides a brief introduction to control of port-Hamiltonian systems.
550 citations
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University of Bologna1, Wilfrid Laurier University2, Delft University of Technology3, Rhodes University4, University of Bristol5, Hohai University6, National Technical University of Athens7, Agrocampus Ouest8, Tuscia University9, Vienna University of Technology10, University of Illinois at Urbana–Champaign11, Lancaster University12, Uppsala University13, University of Arizona14, University of Western Australia15, École Polytechnique Fédérale de Lausanne16, École nationale de l'aviation civile17, Swedish Meteorological and Hydrological Institute18, Roskilde University19, UNESCO-IHE Institute for Water Education20, Griffith University21, Pierre-and-Marie-Curie University22, Ruhr University Bochum23, Commonwealth Scientific and Industrial Research Organisation24, Johns Hopkins University25, University of California, Berkeley26, National Institute of Water and Atmospheric Research27, University of North Carolina at Chapel Hill28, Chinese Academy of Sciences29, Moscow State University30, University of the West Indies31
TL;DR: The Panta Rhei Everything Flows project as mentioned in this paper is dedicated to research activities on change in hydrology and society, which aims to reach an improved interpretation of the processes governing the water cycle by focusing on their changing dynamics in connection with rapidly changing human systems.
Abstract: The new Scientific Decade 2013-2022 of IAHS, entitled Panta RheiEverything Flows, is dedicated to research activities on change in hydrology and society. The purpose of Panta Rhei is to reach an improved interpretation of the processes governing the water cycle by focusing on their changing dynamics in connection with rapidly changing human systems. The practical aim is to improve our capability to make predictions of water resources dynamics to support sustainable societal development in a changing environment. The concept implies a focus on hydrological systems as a changing interface between environment and society, whose dynamics are essential to determine water security, human safety and development, and to set priorities for environmental management. The Scientific Decade 2013-2022 will devise innovative theoretical blueprints for the representation of processes including change and will focus on advanced monitoring and data analysis techniques. Interdisciplinarity will be sought by increased efforts to connect with the socio-economic sciences and geosciences in general. This paper presents a summary of the Science Plan of Panta Rhei, its targets, research questions and expected outcomes.
550 citations
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TL;DR: This paper describes several processes for generating SC experiments and is intended to give an overview of the current state‐of‐the‐art.
550 citations
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TL;DR: In this article, the intrinsic charge transport properties of organic semiconductors by using organic single-crystal field-effect transistors were investigated, and new aspects that influence charge transport in organic semiconductor FETs, and exploratory measurements in the charge density regime approaching one carrier per molecule.
Abstract: Organic electronics constitute an innovative field, with interesting applications complementary to the silicon semiconductor technology. From a scientific perspective, there is large interest in the fundamental understanding of electrical transport in organic semiconductors. However, a well-developed microscopic description is still lacking, due to the complicated character of the many-body polaronic-type of charge carriers in molecular compounds. In this Thesis, we have experimentally studied the intrinsic charge transport properties of organic semiconductors by using organic single-crystal field-effect transistors. The electric field-effect has been frequently used to investigate thin films of organic compounds. Unfortunately, thin-film transistors are not suitable for the study of intrinsic electronic properties of organic conductors, because their characteristics are often strongly affected by imperfections of the film structure and by insufficient purity of organic materials. Thus, for a higher degree of molecular ordering and an improved quality of the FET, we fabricate devices on the surface of a free-standing single crystal of organic molecules. In short, in this work we have achieved successful fabrication of high-quality single-crystal FETs, exhibiting high mobilities and signs of intrinsic transport. Herewith, we have identified new aspects that influence charge transport in organic semiconductor FETs, and we have performed exploratory measurements in the charge density regime approaching one carrier per molecule.
549 citations
Authors
Showing all 38152 results
Name | H-index | Papers | Citations |
---|---|---|---|
Albert Hofman | 267 | 2530 | 321405 |
Charles M. Lieber | 165 | 521 | 132811 |
Ad Bax | 138 | 486 | 97112 |
George C. Schatz | 137 | 1155 | 94910 |
Georgios B. Giannakis | 137 | 1321 | 73517 |
Jaap S. Sinninghe Damsté | 134 | 726 | 61947 |
Avelino Corma | 134 | 1049 | 89095 |
Mark A. Ratner | 127 | 968 | 68132 |
Jing Kong | 126 | 553 | 72354 |
Robert J. Cava | 125 | 1042 | 71819 |
Reza Malekzadeh | 118 | 900 | 139272 |
Jinde Cao | 117 | 1430 | 57881 |
Mike S. M. Jetten | 117 | 488 | 52356 |
Liquan Chen | 111 | 689 | 44229 |
Oscar H. Franco | 111 | 822 | 66649 |