Zobrazeno 1 - 10
of 147
pro vyhledávání: '"J. Barhen"'
Autor:
V. Danilov, A. Aleksandrov, S. Assadi, J. Barhen, W. Blokland, Y. Braiman, D. Brown, C. Deibele, W. Grice, S. Henderson, J. Holmes, Y. Liu, A. Shishlo, A. Webster, I. N. Nesterenko
Publikováno v:
Physical Review Special Topics. Accelerators and Beams, Vol 10, Iss 5, p 053501 (2007)
Thin carbon foils are used as strippers for charge exchange injection into high intensity proton rings. However, the stripping foils become radioactive and produce uncontrolled beam loss, which is one of the main factors limiting beam power in high i
Externí odkaz:
https://doaj.org/article/a1719c9bdc1d4d4fbe90fa1dbf1c2f0b
Autor:
V. Danilov, A. Aleksandrov, S. Assadi, S. Henderson, N. Holtkamp, T. Shea, A. Shishlo, Y. Braiman, Y. Liu, J. Barhen, T. Zacharia
Publikováno v:
Physical Review Special Topics. Accelerators and Beams, Vol 6, Iss 5, p 053501 (2003)
This paper presents a scheme for three-step laser-based stripping of an H^{-} beam for charge exchange injection into a high-intensity proton ring. First, H^{-} atoms are converted to H^{0} by Lorentz stripping in a strong magnetic field, then neutra
Externí odkaz:
https://doaj.org/article/b1a32ccd40e4470eb1b21b207c437ddb
Publikováno v:
Neural Processing Letters. 11:113-129
A new methodology for neural learning is presented. Only a single iteration is needed to train a feed-forward network with near-optimal results. This is achieved by introducing a key modification to the conventional multi-layer architecture. A virtua
The Fifth International Symposium on Distributed Autonomous Robotic Systems (DARS 2000) dealt with new strategies to realize complex, modular, robust, and fault-tolerant robotic systems. Technologies, algorithms, and system architectures for distribu
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783642327223
Distributed Autonomous Robotic Systems
Distributed Autonomous Robotic Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61e44c6bfdad99400300ae9e626fd3cb
https://doi.org/10.1007/978-3-642-32723-0
https://doi.org/10.1007/978-3-642-32723-0
Autor:
David A. Bader, G. Fursin, M. Sato, J. Barhen, Beverly Bachmayer, Lasse Natvig, Eduard Ayguadé, Marco Aldinucci, S. Shende, G. Peterson, Kevin Hammond, Raymond Namyst, P. Michaud, Siegfried Benkner, Christoph Kessler, Sabri Pllana
Publikováno v:
2012 SC Companion: High Performance Computing, Networking Storage and Analysis.
MuCoCoS 2012: 5th International Workshop on Multi-CoreComputing Systems : Performance Portability and Tuning
Publikováno v:
IEEE Transactions on Antennas and Propagation. 43:1441-1449
We present a novel strategy for incorporating massive parallelism into the solution of Maxwell's equations using finite-difference time-domain methods. In a departure from previous techniques wherein spatial parallelism is used, our approach exploits
Publikováno v:
Computers & Electrical Engineering. 19:507-523
In this paper we analyze a fundamental issue which directly impacts the scalability of current theoretical neural network models to applicative embodiments, in both software as well as hardware. This pertains to the inherent and unavoidable concurren
Publikováno v:
Journal of Optimization Theory and Applications. 77:97-126
A new method for unconstrained global function optimization, acronymed TRUST, is introduced.
Autor:
V. Protopopescu, J. Barhen
Publikováno v:
Applied Optimization ISBN: 9780387242545
We investigate the entwined roles played by information and quantum algorithms in reducing the complexity of the global optimization problem (GOP). We show that: (i) a modest amount of additional information is sufficient to map the general continuou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::355fe74b380ad081226c66d175673cc9
https://doi.org/10.1007/0-387-24255-4_13
https://doi.org/10.1007/0-387-24255-4_13