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Institution

University of Jena

EducationJena, 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.


Papers
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Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Cornelia M. van Duijn1831030146009
Veikko Salomaa162843135046
Andreas Pfeiffer1491756131080
Bernhard O. Palsson14783185051
Robert Huber13967173557
Joachim Heinrich136130976887
Michael Schmitt1342007114667
Paul D.P. Pharoah13079471338
David Robertson127110667914
Yuri S. Kivshar126184579415
Ulrich S. Schubert122222985604
Andreas Hochhaus11792368685
Werner Seeger114111357464
Th. Henning110103644699
Sascha Husa10736269907
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023129
2022452
20212,257
20202,198
20192,062
20181,803