Institution
University of Jena
Education•Jena, Thüringen, Germany•
About: University of Jena is a education organization based out in Jena, Thüringen, Germany. It is known for research contribution in the topics: Laser & Population. The organization has 22198 authors who have published 45159 publications receiving 1401514 citations. The organization is also known as: Friedrich-Schiller-Universität Jena & Friedrich Schiller University Jena.
Topics: Laser, Population, Fiber laser, Femtosecond, Raman spectroscopy
Papers published on a yearly basis
Papers
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TL;DR: Even in chronic stroke patients, reduced motor cortex representations of an affected body part can be enlarged and increased in level of excitability by an effective rehabilitation procedure, demonstrating a CNS correlate of therapy-induced recovery of function after nervous system damage in humans.
717 citations
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TL;DR: Shape memory polymers (SMPs) as mentioned in this paper represent a highly interesting class of materials and have gained significant interest in recent years, thus, the variety of materials investigated virtually exploded and several promising shape memory effects have been developed.
711 citations
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TL;DR: In this paper, Aaronson and Arkhipov's model of computation with photons in integrated optical circuits was implemented and the authors set a benchmark for a type of quantum computer that can potentially outperform a conventional computer by using only a few photons and linear optical elements.
Abstract: The boson-sampling problem is experimentally solved by implementing Aaronson and Arkhipov's model of computation with photons in integrated optical circuits. These results set a benchmark for a type of quantum computer that can potentially outperform a conventional computer by using only a few photons and linear optical elements.
710 citations
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TL;DR: FANMOD relies on recently developed algorithms to improve the efficiency of network motif detection by some orders of magnitude over existing tools, which facilitates the detection of larger motifs in bigger networks than previously possible.
Abstract: Summary: Motifs are small connected subnetworks that a network displays in significantly higher frequencies than would be expected for a random network. They have recently gathered much attention as a concept to uncover structural design principles of complex biological networks. FANMOD is a tool for fast network motif detection; it relies on recently developed algorithms to improve the efficiency of network motif detection by some orders of magnitude over existing tools. This facilitates the detection of larger motifs in bigger networks than previously possible. Additional benefits of FANMOD are the ability to analyze colored networks, a graphical user interface and the ability to export results to a variety of machine- and human-readable file formats including comma-separated values and HTML.
Availability: The tool is freely available online at http://www.minet.uni-jena.de/~wernicke/motifs/ and runs under Linux, Mac OS and Windows.
Contact: wernicke@minet.uni-jena.de
707 citations
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TL;DR: The limit of sensitivity in SERS is introduced in the context of single-molecule spectroscopy and the calculation of the ‘real’ enhancement factor, which illustrates the broad applications of this powerful technique.
Abstract: Surface-enhanced Raman spectroscopy (SERS) combines molecular fingerprint specificity with potential single-molecule sensitivity. Therefore, the SERS technique is an attractive tool for sensing molecules in trace amounts within the field of chemical and biochemical analytics. Since SERS is an ongoing topic, which can be illustrated by the increased annual number of publications within the last few years, this review reflects the progress and trends in SERS research in approximately the last three years. The main reason why the SERS technique has not been established as a routine analytic technique, despite its high specificity and sensitivity, is due to the low reproducibility of the SERS signal. Thus, this review is dominated by the discussion of the various concepts for generating powerful, reproducible, SERS-active surfaces. Furthermore, the limit of sensitivity in SERS is introduced in the context of single-molecule spectroscopy and the calculation of the 'real' enhancement factor. In order to shed more light onto the underlying molecular processes of SERS, the theoretical description of SERS spectra is also a growing research field and will be summarized here. In addition, the recording of SERS spectra is affected by a number of parameters, such as laser power, integration time, and analyte concentration. To benefit from synergies, SERS is combined with other methods, such as scanning probe microscopy and microfluidics, which illustrates the broad applications of this powerful technique.
706 citations
Authors
Showing all 22435 results
Name | H-index | Papers | Citations |
---|---|---|---|
Cornelia M. van Duijn | 183 | 1030 | 146009 |
Veikko Salomaa | 162 | 843 | 135046 |
Andreas Pfeiffer | 149 | 1756 | 131080 |
Bernhard O. Palsson | 147 | 831 | 85051 |
Robert Huber | 139 | 671 | 73557 |
Joachim Heinrich | 136 | 1309 | 76887 |
Michael Schmitt | 134 | 2007 | 114667 |
Paul D.P. Pharoah | 130 | 794 | 71338 |
David Robertson | 127 | 1106 | 67914 |
Yuri S. Kivshar | 126 | 1845 | 79415 |
Ulrich S. Schubert | 122 | 2229 | 85604 |
Andreas Hochhaus | 117 | 923 | 68685 |
Werner Seeger | 114 | 1113 | 57464 |
Th. Henning | 110 | 1036 | 44699 |
Sascha Husa | 107 | 362 | 69907 |