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Institution

Karlsruhe Institute of Technology

EducationKarlsruhe, Germany
About: Karlsruhe Institute of Technology is a education organization based out in Karlsruhe, Germany. It is known for research contribution in the topics: Computer science & Catalysis. The organization has 37946 authors who have published 82138 publications receiving 2197068 citations. The organization is also known as: KIT & University of Karlsruhe.


Papers
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Journal ArticleDOI
TL;DR: The Andean foreland deformation comprises three basically different structural styles: (1) thin-skinned thrust belts detached within the sedimentary cover, (2) thick-skin thrust belts with an inferred basal detachment in the basement, at 10-20 km depth, and (3) foreland basement thrusts which possibly affect the entire crust as mentioned in this paper.

331 citations

Journal ArticleDOI
TL;DR: Li 6 PS 5 X (X = Cl, Br, I) in contact with Li metal is investigated in this paper, where the stability of the argyrodite structure is investigated using an X-ray photoemission technique in combination with time-resolved impedance spectroscopy.

331 citations

Journal ArticleDOI
TL;DR: Results show that convolutional neural networks are the state of the art in polyp detection and it is also demonstrated that combining different methodologies can lead to an improved overall performance.
Abstract: Colonoscopy is the gold standard for colon cancer screening though some polyps are still missed, thus preventing early disease detection and treatment. Several computational systems have been proposed to assist polyp detection during colonoscopy but so far without consistent evaluation. The lack of publicly available annotated databases has made it difficult to compare methods and to assess if they achieve performance levels acceptable for clinical use. The Automatic Polyp Detection sub-challenge, conducted as part of the Endoscopic Vision Challenge ( http://endovis.grand-challenge.org ) at the international conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2015, was an effort to address this need. In this paper, we report the results of this comparative evaluation of polyp detection methods, as well as describe additional experiments to further explore differences between methods. We define performance metrics and provide evaluation databases that allow comparison of multiple methodologies. Results show that convolutional neural networks are the state of the art. Nevertheless, it is also demonstrated that combining different methodologies can lead to an improved overall performance.

331 citations

Journal ArticleDOI
TL;DR: In this article, a 0.75mm-thick anode is sandwiched between two small co-flowing gas channels, and the results of non-electrochemical heterogeneous reforming chemistry within a Ni-YSZ anode are determined by using mass spectrometry to measure the species composition at the outlet of both channels.
Abstract: This paper reports experimental and modeling investigations of thermal methane reforming chemistry within porous Ni–YSZ anode materials. Because the reforming chemistry is difficult to observe directly in an operating fuel cell, a specially designed experiment is developed. In the experiment a 0.75 mm-thick anode is sandwiched between two small co-flowing gas channels. One channel represents the fuel channel of a solid-oxide fuel cell (SOFC). The composition in the other channel carries the species that would be produced in an operating fuel cell by the electrochemical charge-transfer reactions in the thin three-phase regions near the interface between the anode and the dense electrolyte membrane (i.e., H2O and CO2). Because the anode structure is porous (and there is no dense electrolyte or cathode applied), there is convective and diffusive species flux between the two flow channels. The entire assembly is maintained at approximately 800 ° C in a furnace. The results of heterogeneous reforming kinetics are determined by using mass spectrometry to measure the species composition at the outlet of both channels. Experimental results are interpreted using a computational model that incorporates channel gas flow, porous-media transport, and elementary heterogeneous chemical kinetics. The overall objective is to develop quantitative models of non-electrochemical heterogeneous reforming chemistry within a Ni–YSZ anode.

330 citations

Journal ArticleDOI
TL;DR: An up-to-date overview of the CFOUR program system and its well-known capabilities for high-level coupled-cluster theory and its application to molecular properties is given.
Abstract: An up-to-date overview of the CFOUR program system is given. After providing a brief outline of the evolution of the program since its inception in 1989, a comprehensive presentation is given of its well-known capabilities for high-level coupled-cluster theory and its application to molecular properties. Subsequent to this generally well-known background information, much of the remaining content focuses on lesser-known capabilities of CFOUR, most of which have become available to the public only recently or will become available in the near future. Each of these new features is illustrated by a representative example, with additional discussion targeted to educating users as to classes of applications that are now enabled by these capabilities. Finally, some speculation about future directions is given, and the mode of distribution and support for CFOUR are outlined.

330 citations


Authors

Showing all 38468 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Yury Gogotsi171956144520
Marc Weber1672716153502
Chad A. Mirkin1641078134254
J. S. Lange1602083145919
Hannes Jung1592069125069
Wolfgang Wagner1562342123391
Vivek Sharma1503030136228
Teresa Lenz1501718114725
Andreas Pfeiffer1491756131080
Daniel Bloch1451819119556
Th. Müller1441798125843
Martin Erdmann1441562100470
Tim Adye1431898109010
Daniela Bortoletto1431883108433
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023412
2022828
20214,635
20204,874
20194,830
20184,412