Institution
University of Münster
Education•Münster, Germany•
About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Catalysis. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.
Topics: Population, Catalysis, Transplantation, Gene, Crystal structure
Papers published on a yearly basis
Papers
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TL;DR: The yield ratio does not show the suppression observed in central Au+Au collisions at RHIC, but there is a small enhancement in the yield of high momentum particles.
Abstract: Transverse momentum spectra of charged hadrons with p(T)<8 GeV/c and neutral pions with p(T)<10 GeV/c have been measured at midrapidity by the PHENIX experiment at BNL RHIC in d+Au collisions at sqrt[s(NN)]=200 GeV. The measured yields are compared to those in p+p collisions at the same sqrt[s(NN)] scaled up by the number of underlying nucleon-nucleon collisions in d+Au. The yield ratio does not show the suppression observed in central Au+Au collisions at RHIC. Instead, there is a small enhancement in the yield of high momentum particles.
396 citations
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TL;DR: In this paper, the same authors used trend, correlation, wavelet, and spectral analysis on Gaussian-filtered isotope records to detect and quantify similarities and patterns in temporal records.
395 citations
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TL;DR: The varying offset between the virtual and the physical tracking space makes the HTC Vive at present unsuitable for scientific experiments that require accurate visual stimulation of self-motion through a virtual world, but it may be suited for other experiments that do not have this requirement.
Abstract: The advent of inexpensive consumer virtual reality equipment enables many more researchers to study perception with naturally moving observers One such system, the HTC Vive, offers a large field-of-view, high-resolution head mounted display together with a room-scale tracking system for less than a thousand US dollars If the position and orientation tracking of this system is of sufficient accuracy and precision, it could be suitable for much research that is currently done with far more expensive systems Here we present a quantitative test of the HTC Vive's position and orientation tracking as well as its end-to-end system latency We report that while the precision of the Vive's tracking measurements is high and its system latency (22 ms) is low, its position and orientation measurements are provided in a coordinate system that is tilted with respect to the physical ground plane Because large changes in offset were found whenever tracking was briefly lost, it cannot be corrected for with a one-time calibration procedure We conclude that the varying offset between the virtual and the physical tracking space makes the HTC Vive at present unsuitable for scientific experiments that require accurate visual stimulation of self-motion through a virtual world It may however be suited for other experiments that do not have this requirement
395 citations
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TL;DR: Recent work on optical computing for artificial intelligence applications is reviewed and its promise and challenges are discussed.
Abstract: Artificial intelligence tasks across numerous applications require accelerators for fast and low-power execution. Optical computing systems may be able to meet these domain-specific needs but, despite half a century of research, general-purpose optical computing systems have yet to mature into a practical technology. Artificial intelligence inference, however, especially for visual computing applications, may offer opportunities for inference based on optical and photonic systems. In this Perspective, we review recent work on optical computing for artificial intelligence applications and discuss its promise and challenges.
395 citations
Authors
Showing all 36075 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hyun-Chul Kim | 176 | 4076 | 183227 |
Klaus Müllen | 164 | 2125 | 140748 |
Giacomo Bruno | 158 | 1687 | 124368 |
Anders M. Dale | 156 | 823 | 133891 |
Holger J. Schünemann | 141 | 810 | 113169 |
Joachim Heinrich | 136 | 1309 | 76887 |
Markus Merschmeyer | 132 | 1188 | 84975 |
Klaus Ley | 129 | 495 | 57964 |
Robert W. Mahley | 128 | 363 | 60774 |
Robert J. Kurman | 127 | 397 | 60277 |
Bart Barlogie | 126 | 779 | 57803 |
Thomas Schwarz | 123 | 701 | 54560 |
Carlos Caldas | 122 | 547 | 73840 |
Klaus Weber | 121 | 524 | 60346 |
Andrey L. Rogach | 117 | 576 | 46820 |