Institution
University of Paderborn
Education•Paderborn, Nordrhein-Westfalen, Germany•
About: University of Paderborn is a education organization based out in Paderborn, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Control reconfiguration & Software. The organization has 6684 authors who have published 16929 publications receiving 323154 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors implemented the scattering scheme proposed by Tarasinski et al. in a photonic time multiplexed quantum walk experiment to directly measure the topological invariants of quantum walks.
Abstract: Quantum walks constitute a versatile platform for simulating transport phenomena on discrete graphs including topological material properties while providing a high control over the relevant parameters at the same time. To experimentally access and directly measure the topological invariants of quantum walks, we implement the scattering scheme proposed by Tarasinski et al. [Phys. Rev. A 89, 042327 (2014)] in a photonic time multiplexed quantum walk experiment. The tunable coin operation provides opportunity to reach distinct topological phases, and accordingly to observe the corresponding topological phase transitions. The ability to read-out the position and the coin state distribution, complemented by explicit interferometric sign measurements, allowed the reconstruction of the scattered reflection amplitudes and thus the computation of the associated bulk topological invariants. As predicted, we also find localized states at the edges between two bulks belonging to different topological phases. In order to analyze the impact of disorder, we have measured invariants of two different types of disordered samples in large ensemble measurements, demonstrating their constancy in one disorder regime and a continuous transition with increasing disorder strength for the second disorder sample.
87 citations
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15 Apr 2010-Materials Science and Engineering A-structural Materials Properties Microstructure and Processing
TL;DR: In this article, the twin density in the plastic zone of compact tension (CT) specimens is very low, leading to the conclusion that the deformation mechanisms depend drastically on the loading conditions.
Abstract: The crack growth behavior of a high-manganese austenitic steel, which exhibits the twinning-induced plasticity (TWIP) effect, was investigated under positive stress ratios. An experimental study making use of miniature compact tension (CT) specimens and thorough microstructural analyses including transmission electron microscopy and fracture analyses demonstrated that the microstructural evolution in the plastic zone of the fatigued TWIP CT specimens is substantially different as compared to the monotonic plastic deformation case. Specifically, the twin density in the plastic zone of the CT specimens is very low, leading to the conclusion that the deformation mechanisms depend drastically on the loading conditions. The absence of twinning under cyclic loading in the plastic zone of the CT specimens indicates that even large accumulated plastic strains are not sufficient to cause substantial twinning in the TWIP steel. This lack of hardening preserves the ductile character of the TWIP steel in the plastic zone ahead of the crack tip and provides for a crack growth rate in the Paris regime lower than reported for other high strength steels.
87 citations
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TL;DR: In this paper, a theoretically consistent calculation method for the heat transfer coefficient α in nucleate boiling, which should be based on the physical phenomena connected with vapour bubbles growing, departing and sliding on the wall and with the interactions of bubbles and of neighbouring nucleation sites within the microstructure of the heating surface, is proposed.
Abstract: The correct prediction of the heat transfer performance of the boiling liquid within the evaporator of a refrigeration unit is one of the essential features for the successful operation of the whole unit. A theoretically consistent calculation method for the heat transfer coefficient α in nucleate boiling, which should be based on the physical phenomena connected with vapour bubbles growing, departing and sliding on the wall and with the interactions of bubbles and of neighbouring nucleation sites within the microstructure of the heating surface, does not yet exist, despite the increasing number of papers on the subject in the recent past. Instead, the predictive methods for α available at present are empirical or semiempirical, especially for heat transfer conditions relevant in practice. Many of these correlations have been established in the form of power laws in which the relative influences of the main groups of variables on α are treated by separate factors. One of these may stand for the influence of the thermophysical properties of the boiling liquid or these properties will be included in several of the factors. New experimental results are presented for pool boiling heat transfer from a single horizontal copper tube (8 mm OD) to HFC-refrigerants (R32, 125, 134a, 143a, 152a, 227ea) and hydrocarbons (propane, i -butane). The results are compared to experimental data from the literature, and methods are discussed, how to incorporate the data in semiempirical correlations to describe the influence of the thermophysical properties of the fluids on the heat transfer performance.
87 citations
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TL;DR: In this article, a methodology for pattern-based business model design simplifying development and analysis of business models for disruptive technologies is presented, which can be interpreted as proven business model elements and reveal valuable insights about pursued business logics.
Abstract: Companies nowadays face a myriad of business opportunities as a direct consequence of manifold disruptive technology developments. As a basic characteristic, disruptive technologies lead to a severe shift in value-creation networks giving rise to new market segments. One of the key challenges is to anticipate the business logics within these nascent and formerly unknown markets. Business model patterns promise to tackle this challenge. They can be interpreted as proven business model elements, which reveal valuable insights about pursued business logics. The approach in general helps increasing efficiency in business models design processes, but especially lacks methodological support so far. The paper at hand, therefore presents a methodology for pattern-based business model design simplifying development and analysis of business models for disruptive technologies. The methodology has been validated within several industrial projects.
87 citations
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TL;DR: In this paper, the authors used the full-potential linearized augmented plane-wave (FLAPW) method to solve the first-principles GW calculations for LiNbO3 and obtained a band gap of 4.7 (4.2) eV.
Abstract: Given the vast range of lithium niobate (LiNbO3) applications, the knowledge about its electronic and optical properties is surprisingly limited. The direct band gap of 3.7 eV for the ferroelectric phase – frequently cited in the literature – is concluded from optical experiments [1]. Recent theoretical investigations [2] show that the electronic band-structure and optical properties are very sensitive to quasiparticle and electron-hole attraction effects, which were included using the GW approximation for the electron self-energy and the Bethe-Salpeter equation respectively, both based on a model screening function. The calculated fundamental gap was found to be at least 1 eV larger than the experimental value. To resolve this discrepancy we performed first-principles GW calculations for lithium niobate using the full-potential linearized augmented plane-wave (FLAPW) method [3]. Thereby we use the parameter-free random phase approximation for a realistic description of the nonlocal and energydependent screening. This leads to a band gap of about 4.7 (4.2) eV for ferro(para)-electric lithium niobate (© 2010 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
87 citations
Authors
Showing all 6872 results
Name | H-index | Papers | Citations |
---|---|---|---|
Martin Karplus | 163 | 831 | 138492 |
Marco Dorigo | 105 | 657 | 91418 |
Robert W. Boyd | 98 | 1161 | 37321 |
Thomas Heine | 84 | 423 | 24210 |
Satoru Miyano | 84 | 811 | 38723 |
Wen-Xiu Ma | 83 | 420 | 20702 |
Jörg Neugebauer | 81 | 491 | 30909 |
Thomas Lengauer | 80 | 477 | 34430 |
Gotthard Seifert | 80 | 445 | 26136 |
Reshef Tenne | 74 | 529 | 24717 |
Tim Meyer | 74 | 548 | 24784 |
Qiang Cui | 71 | 292 | 20655 |
Thomas Frauenheim | 70 | 451 | 17887 |
Walter Richtering | 67 | 332 | 14866 |
Marcus Elstner | 67 | 209 | 18960 |