Institution
Clarkson University
Education•Potsdam, New York, United States•
About: Clarkson University is a education organization based out in Potsdam, New York, United States. It is known for research contribution in the topics: Particle & Turbulence. The organization has 4414 authors who have published 10009 publications receiving 305356 citations. The organization is also known as: Thomas S. Clarkson Memorial School of Technology & Thomas S. Clarkson Memorial College of Technology.
Papers published on a yearly basis
Papers
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TL;DR: The use of a miniaturized electrochemical cytochrome c (Cyt c) biosensor for real-time measurements and quantitative assessment of superoxide production and inactivation by natural and engineered antioxidants in acutely prepared brain slices from mice is demonstrated.
88 citations
88 citations
TL;DR: In this article, a uniform coatings of zirconium hydrous oxide have been deposited over spindle-type hematite particles by aging the preformed solids in the above solutions in the presence of a stabilizing agent.
88 citations
TL;DR: In this article, structural dynamics of small and large induction machines are investigated using integral manifolds and are shown to be markedly different, whereas the dominant behavior in small machines is characterized by a well-known first-order speed model, the corresponding behavior in large machines is defined by a novel firstorder voltage model, and nonlinear simulations and eigenvalue analyses illustrate the validity of the structural models developed.
Abstract: Structural dynamics of small and large induction machines are investigated using integral manifolds and are shown to be markedly different. Whereas the dominant behavior in small machines is characterized by a well-known first-order speed model, the corresponding behavior in large machines is characterized by a novel first-order voltage model. Nonlinear simulations and eigenvalue analyses illustrate the validity of the structural models developed. >
88 citations
Posted Content•
TL;DR: Simulations show that although the network may have many noncommunicating components, the recent weighted time-averaged communication is sufficient to yield robust synchronization of chaotic oscillators.
Abstract: We consider systems that are well modelled as a networks that evolve in time, which we call {\it Moving Neighborhood Networks}. These models are relevant in studying cooperative behavior of swarms and other phenomena where emergent interactions arise from ad hoc networks. In a natural way, the time-averaged degree distribution gives rise to a scale-free network. Simulations show that although the network may have many noncommunicating components, the time-averaged communication is sufficient to yield robust synchronization of chaotic oscillators.
88 citations
Authors
Showing all 4454 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Xuan Zhang | 119 | 1530 | 65398 |
| Michael R. Hoffmann | 109 | 500 | 63474 |
| Philip K. Hopke | 91 | 929 | 40612 |
| Sudipta Seal | 86 | 514 | 32788 |
| Egon Matijević | 81 | 466 | 25015 |
| Mark J. Ablowitz | 74 | 374 | 27715 |
| Kim R. Dunbar | 74 | 470 | 20262 |
| Maureen E. Callow | 70 | 188 | 14957 |
| Igor M. Sokolov | 69 | 673 | 20256 |
| James A. Callow | 68 | 186 | 14424 |
| Michal Borkovec | 66 | 235 | 19638 |
| Sergiy Minko | 66 | 256 | 18723 |
| Corwin Hansch | 66 | 342 | 26798 |
| David H. Russell | 66 | 477 | 17172 |
| Nitash P. Balsara | 62 | 411 | 15083 |