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: Two case studies are presented to illustrate SDG-based analysis of process flowsheets containing many units and control loops and it is shown that digraph-based steady-state analysis results in good diagnostic resolution.
135 citations
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TL;DR: In this article, a polypyrrole hydrogel precursor is used to create a carbon framework that possesses both huge heteroatom content (13% nitrogen and 11% oxygen) and high surface area (945m 2 ǫg −1 ) that is equally divided between micropores and mesopores.
135 citations
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TL;DR: It is shown that a model in which the driving force is reduced to accommodate the hysteresis effect inferred from the data is able to remove most of the discrepancy between the observed and predicted velocities.
Abstract: Results from experiments performed on the motion of drops of tetraethylene glycol in a wettability gradient present on a silicon surface are reported and compared with predictions from a recently developed theoretical model. The gradient in wettability was formed by exposing strips cut from a silicon wafer to dodecyltrichlorosilane vapors. Video images of the drops captured during the experiments were subsequently analyzed for drop size and velocity as functions of position along the gradient. In separate experiments on the same strips, the static contact angle formed by small drops was measured and used to obtain the local wettability gradient to which a drop is subjected. The velocity of the drops was found to be a strong function of position along the gradient. A quasi-steady theoretical model that balances the local hydrodynamic resistance with the local driving force generally describes the observations; possible reasons for the remaining discrepancies are discussed. It is shown that a model in which the driving force is reduced to accommodate the hysteresis effect inferred from the data is able to remove most of the discrepancy between the observed and predicted velocities.
135 citations
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TL;DR: In this paper, the chemistry of electrical discharges in liquid water and the chemical effects of plasmas on the degradation of organic molecules are discussed. But, the focus of this paper is on streamer-like discharges with gases bubbling through the plasma zone and the presence of additives.
Abstract: Plasmas formed in aqueous solutions dissociate water into highly oxidative and reductive radicals which can induce chemical changes in compounds present in the bulk liquid. As a result, electrical discharge plasmas have acquired significant importance in drinking and wastewater treatment. Part II of this manuscript reviews the chemistry of electrical discharges in liquid water and the chemical effects of plasmas on the degradation of organic molecules. Due to a wide range of work done with plasmas in water, this review is limited to streamer-like electrical discharges directly in water excluding the discharges with gases bubbling through the plasma zone and the presence of additives. The goal was to summarize and present major findings on the fundamental mechanisms related to the production of radicals in the plasma as well as to describe chemical pathways for the degradation of different groups of molecules.
135 citations
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TL;DR: In this article, positive matrix factorization (PMF) was applied to identify the PM2.5 sources and estimate the source contributions and seasonal or weekday variations derived by PMF are compared to source inventories for the area.
134 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 |