Institution
Johannes Kepler University of Linz
Education•Linz, Oberösterreich, Austria•
About: Johannes Kepler University of Linz is a education organization based out in Linz, Oberösterreich, Austria. It is known for research contribution in the topics: Thin film & Quantum dot. The organization has 6605 authors who have published 19243 publications receiving 385667 citations.
Papers published on a yearly basis
Papers
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TL;DR: In this paper, the authors present current/voltage characteristics, efficiency data and surface morphology studies of large area flexible plastic solar cells with a photoactive layer consisting of poly(2-methoxy-5-(3′,7′-dimethyloctyloxy)-1,4-phenylene vinylene), (P3OT) as donor and fullerene C 60 or a highly soluble methanofullerene, (phenyl-[6,6]-C 61 )-butyric acid methyl ester (PCBM) as electron acceptor.
141 citations
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TL;DR: The feasibility of simultaneous optical and electrical detection of structural changes in single ion channels in planar bilayer membranes is demonstrated as well as suggesting strategies for improving the reliability of such measurements.
141 citations
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04 Jul 1994TL;DR: There is an undeniable demand to capture already proven and matured object-oriented design so that building reusable object- oriented software does not always have to start from scratch.
Abstract: There is an undeniable demand to capture already proven and matured object-oriented design so that building reusable object-oriented software does not always have to start from scratch. The term design pattern emerged as buzzword that is associated as a means to meet that goal. Already existing approaches such as the catalog of design patterns of Erich Gamma et al. [5, 6] and Peter Coad's object-oriented patterns [3] differ in the applied notation as well as the way of abstracting from specific application domains.
141 citations
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TL;DR: In this article, the authors discuss the methodology of qualitative inverse problems and demonstrate how sparsity enforcing regularization allows the determination of key reaction mechanisms underlying the qualitative behavior, such as bistability or limit cycle oscillations.
Abstract: Systems biology is a new discipline built upon the premise that an understanding of how cells and organisms carry out their functions cannot be gained by looking at cellular components in isolation. Instead, consideration of the interplay between the parts of systems is indispensable for analyzing, modeling, and predicting systems' behavior. Studying biological processes under this premise, systems biology combines experimental techniques and computational methods in order to construct predictive models. Both in building and utilizing models of biological systems, inverse problems arise at several occasions, for example, (i) when experimental time series and steady state data are used to construct biochemical reaction networks, (ii) when model parameters are identified that capture underlying mechanisms or (iii) when desired qualitative behavior such as bistability or limit cycle oscillations is engineered by proper choices of parameter combinations. In this paper we review principles of the modeling process in systems biology and illustrate the ill-posedness and regularization of parameter identification problems in that context. Furthermore, we discuss the methodology of qualitative inverse problems and demonstrate how sparsity enforcing regularization allows the determination of key reaction mechanisms underlying the qualitative behavior.
141 citations
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06 Dec 2011TL;DR: This work presents a new approach, called cube-and-conquer, targeted at reducing solving time on hard instances, and finds that this hybrid approach outperforms both lookahead and conflict-driven solvers.
Abstract: Satisfiability (SAT) is considered as one of the most important core technologies in formal verification and related areas. Even though there is steady progress in improving practical SAT solving, there are limits on scalability of SAT solvers. We address this issue and present a new approach, called cube-and-conquer, targeted at reducing solving time on hard instances. This two-phase approach partitions a problem into many thousands (or millions) of cubes using lookahead techniques. Afterwards, a conflict-driven solver tackles the problem, using the cubes to guide the search. On several hard competition benchmarks, our hybrid approach outperforms both lookahead and conflict-driven solvers. Moreover, because cube-and-conquer is natural to parallelize, it is a competitive alternative for solving SAT problems in parallel.
141 citations
Authors
Showing all 6718 results
Name | H-index | Papers | Citations |
---|---|---|---|
Wolfgang Wagner | 156 | 2342 | 123391 |
A. Paul Alivisatos | 146 | 470 | 101741 |
Klaus-Robert Müller | 129 | 764 | 79391 |
Christoph J. Brabec | 120 | 896 | 68188 |
Andreas Heinz | 108 | 1078 | 45002 |
Niyazi Serdar Sariciftci | 99 | 591 | 54055 |
Lars Samuelson | 96 | 850 | 36931 |
Peter J. Oefner | 90 | 348 | 30729 |
Dmitri V. Talapin | 90 | 303 | 39572 |
Tomás Torres | 88 | 625 | 28223 |
Ramesh Raskar | 86 | 670 | 30675 |
Siegfried Bauer | 84 | 422 | 26759 |
Alexander Eychmüller | 82 | 444 | 23688 |
Friedrich Schneider | 82 | 554 | 27383 |
Maksym V. Kovalenko | 81 | 360 | 34805 |