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Institution

University of Stuttgart

EducationStuttgart, Germany
About: University of Stuttgart is a education organization based out in Stuttgart, Germany. It is known for research contribution in the topics: Laser & Finite element method. The organization has 27715 authors who have published 56370 publications receiving 1363382 citations. The organization is also known as: Universität Stuttgart.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a family of algorithms and matrix representations of overall properties of discretized micro-structures which are motivated by a minimization of averaged incremental energy is presented, where the overall stresses and tangent moduli of a typical micro-structure are defined in terms of discrete forces and stiffness properties on the boundary.

253 citations

Journal ArticleDOI
TL;DR: The concept of "adhesion design maps" which visualize the predicted mechanical behavior of contact performance on the geometry and the elastic properties of the fibers are introduced, useful for understanding biological systems and for guiding experimentation to achieve optimum artificial contacts.

253 citations

Journal ArticleDOI
TL;DR: The TIGER Treebank, a corpus of currently 40,000 syntactically annotated German newspaper sentences, is described and the query language which was designed to facilitate a simple formulation of complex queries is described, a graphical user interface for query input.
Abstract: This paper reports on the TIGER Treebank, a corpus of currently 40,000 syntactically annotated German newspaper sentences. We describe what kind of information is encoded in the treebank and introduce the different representation formats that are used for the annotation and exploitation of the treebank. We explain the different methods used for the annotation: interactive annotation, using the tool ANNOTATE, and LFG parsing. Furthermore, we give an account of the annotation scheme used for the TIGER treebank. This scheme is an extended and improved version of the NEGRA annotation scheme and we illustrate in detail the linguistic extensions that were made concerning the annotation in the TIGER project. The main differences are concerned with coordination, verb-subcategorization, expletives as well as proper nouns. In addition, the paper also presents the query tool TIGERSearch that was developed in the project to exploit the treebank in an adequate way. We describe the query language which was designed to facilitate a simple formulation of complex queries; furthermore, we shortly introduce TIGER in, a graphical user interface for query input. The paper concludes with a summary and some directions for future work.

253 citations

Journal ArticleDOI
TL;DR: In this article, two different techniques for the electronic surface passivation of silicon solar cells, the plasmaenhanced chemical vapour deposition of silicon nitride (SiN) and the fabrication of thin thermal silicon oxide/plasma SiN stack structures, are investigated.
Abstract: Two different techniques for the electronic surface passivation of silicon solar cells, the plasma-enhanced chemical vapour deposition of silicon nitride (SiN) and the fabrication of thin thermal silicon oxide/plasma SiN stack structures, are investigated. It is demonstrated that, despite their low thermal budget, both techniques are capable of giving an outstanding surface passivation quality on the low-resistivity (∼1 � cm) p-Si base as well as on n + -diffused solar cell emitters with the oxide/nitride stacks showing a much better thermal stability. Both techniques are then applied to fabricate frontand rear-passivated silicon solar cells. Open-circuit voltages in the vicinity of 670 mV are obtained with both passivation techniques on float-zone single-crystalline silicon wafers, demonstrating the outstanding surface passivation quality of the applied passivation schemes on real devices. All-SiN passivated multicrystalline silicon solar cells achieve an open-circuit voltage of 655 mV, which is amongst the highest open-circuit voltages attained on this kind of substrate material. The high open-circuit voltage of the multicrystalline silicon solar cells results not only from the excellent degree of surface passivation but also from the ability of the cell fabrication to maintain a relatively high bulk lifetime (>20 µs) due to the low thermal budget of the surface passivation process.

253 citations

Journal ArticleDOI
Takahiro Sumi1, D. P. Bennett2, Ian A. Bond3, Andrzej Udalski4, V. Batista, Martin Dominik5, Martin Dominik6, P. Fouqué7, D. Kubas, Andrew Gould8, Bruce Macintosh9, K. H. Cook9, Subo Dong10, L. Skuljan3, Arnaud Cassan, Fumio Abe1, C. S. Botzler11, Akihiko Fukui1, K. Furusawa1, John B. Hearnshaw12, Yoshitaka Itow1, Kisaku Kamiya1, P. M. Kilmartin, A. V. Korpela13, W. Lin3, C. H. Ling3, Kimiaki Masuda1, Yutaka Matsubara1, N. Miyake1, Yasushi Muraki14, M. Nagaya1, Takahiro Nagayama1, Kouji Ohnishi, Teppei Okumura1, Y. C. Perrott11, Nicholas J. Rattenbury11, To. Saito15, Takashi Sako1, D. J. Sullivan13, Winston L. Sweatman3, P. J. Tristram, Philip Yock11, J. P. Beaulieu16, Andrew A. Cole17, Ch. Coutures8, M. F. Duran18, J. G. Greenhill17, Francisco Jablonski19, U. Marboeuf, Eder Martioli19, Ettore Pedretti5, Ondřej Pejcha8, Patricio Rojo18, Michael D. Albrow12, S. Brillant, M. F. Bode20, D. M. Bramich21, Martin Burgdorf22, Martin Burgdorf23, J. A. R. Caldwell, H. Calitz24, E. Corrales16, S. Dieters16, S. Dieters17, D. Dominis Prester25, J. Donatowicz26, K. M. Hill16, K. M. Hill17, M. Hoffman24, Keith Horne5, U. G. Jørgensen27, N. Kains5, Stephen R. Kane28, J. B. Marquette16, R. M. Martin, P. J. Meintjes24, J. W. Menzies, K. R. Pollard12, Kailash C. Sahu29, Colin Snodgrass, Iain A. Steele20, Rachel Street30, Yiannis Tsapras30, Joachim Wambsganss31, Andrew Williams, M. Zub31, Michał K. Szymański4, M. Kubiak4, Grzegorz Pietrzyński4, Grzegorz Pietrzyński32, Igor Soszyński4, O. Szewczyk32, Łukasz Wyrzykowski, Krzysztof Ulaczyk4, William H. Allen, G. W. Christie, Darren L. DePoy33, B. S. Gaudi8, C. Han34, J. Janczak8, C.-U. Lee35, Jennie McCormick, F. Mallia, B. Monard, Tim Natusch36, Byeong-Gon Park35, Richard W. Pogge8, R. Santallo 
TL;DR: The OGLE-2007-BLG-368Lb with a planet-star mass ratio of q = [9.5 ± 2.1] × 10^(-5] via gravitational microlensing was discovered in real-time thanks to the high cadence of the Microlensing Observations in Astrophysics survey and intensive followup observations.
Abstract: We present the discovery of a Neptune-mass planet OGLE-2007-BLG-368Lb with a planet-star mass ratio of q = [9.5 ± 2.1] × 10^(-5) via gravitational microlensing. The planetary deviation was detected in real-time thanks to the high cadence of the Microlensing Observations in Astrophysics survey, real-time light-curve monitoring and intensive follow-up observations. A Bayesian analysis returns the stellar mass and distance at M_l = 0.64^(+0.21)_(–0.26) M_☉ and D_l = 5.9^(+0.9)_(–1.4) kpc, respectively, so the mass and separation of the planet are M_p = 20^(+7)_(–8) M_⊕ and a = 3.3^(+1.4)_(–0.8) AU, respectively. This discovery adds another cold Neptune-mass planet to the planetary sample discovered by microlensing, which now comprises four cold Neptune/super-Earths, five gas giant planets, and another sub-Saturn mass planet whose nature is unclear. The discovery of these 10 cold exoplanets by the microlensing method implies that the mass ratio function of cold exoplanets scales as dN_(pl)/d log q ∝ q^(–0.7±0.2) with a 95% confidence level upper limit of n < –0.35 (where dN_(pl)/d log q ∝ q^n). As microlensing is most sensitive to planets beyond the snow-line, this implies that Neptune-mass planets are at least three times more common than Jupiters in this region at the 95% confidence level.

253 citations


Authors

Showing all 28043 results

NameH-indexPapersCitations
Yi Chen2174342293080
Robert J. Lefkowitz214860147995
Michael Kramer1671713127224
Andrew G. Clark140823123333
Stephen D. Walter11251357012
Fedor Jelezko10341342616
Ulrich Gösele10260346223
Dirk Helbing10164256810
Ioan Pop101137047540
Niyazi Serdar Sariciftci9959154055
Matthias Komm9983243275
Hans-Joachim Werner9831748508
Richard R. Ernst9635253100
Xiaoming Sun9638247153
Feng Chen95213853881
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023147
2022482
20212,588
20202,646
20192,654
20182,525