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Institution

Worcester Polytechnic Institute

EducationWorcester, Massachusetts, United States
About: Worcester Polytechnic Institute is a education organization based out in Worcester, Massachusetts, United States. It is known for research contribution in the topics: Population & Data envelopment analysis. The organization has 6270 authors who have published 12704 publications receiving 332081 citations. The organization is also known as: WPI.


Papers
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Journal ArticleDOI
TL;DR: An important aspect of MRI and MRS studies is that techniques and findings are easily translated between systems, and pre-clinical studies using cultured cells or experimental animals have a high connectivity to potential clinical utility.

125 citations

Journal ArticleDOI
TL;DR: The possibility of using domestically produced switchgrass, hybrid poplar, corn stover, and wheat straw as feedstocks to produce liquid biofuels in the US was interesting to study.

125 citations

Journal ArticleDOI
01 Apr 1993-Wear
TL;DR: In this paper, a new fractal-based method is described for analyzing topographic data sets from engineering surfaces, which is analogous to the well-known coastline method of fractal analysis, which uses line segments to estimate the length of a jagged line as a function of the segment length.

125 citations

Journal ArticleDOI
TL;DR: This work develops a semantic and theoretical framework and proposes a new system for organizing and designating multiscale analyses and characterizations of surface topographies from the engineering and scientific literature with an emphasis on production engineering research and design.
Abstract: This work studies multiscale analyses and characterizations of surface topographies from the engineering and scientific literature with an emphasis on production engineering research and design It highlights methods that provide strong correlations between topographies and performance or topographies and processes, and methods that can confidently discriminate topographies that were processed or that perform differently These methods have commonalities in geometric characterizations at certain scales, which are observable with statistics and measurements It also develops a semantic and theoretical framework and proposes a new system for organizing and designating multiscale analyses Finally, future possibilities for multiscale analyses are discussed

125 citations

Journal ArticleDOI
TL;DR: In this paper, it was shown that the terahertz conductivity of a structurally confined Drude gas of electrons is actually suppressed at low frequencies due to carrier confinement on the diffusion length scale and not due to backscattering.
Abstract: Terahertz spectroscopy of nanomaterials is one of the most active areas of terahertz physics thanks to its ability to reveal charge-carrier confinement on length scales of tens to hundreds of nanometers. Structural confinement modifies the experimental complex conductivity, such that it is Drude-like at high frequencies but suppressed at low frequencies. This response is often described as a consequence of carrier backscattering off nanoparticle boundaries and modeled using the sometimes controversial Drude-Smith formula. In this paper, it is demonstrated that the terahertz conductivity of a structurally confined Drude gas of electrons is actually suppressed at low frequencies due to carrier confinement on the diffusion length scale and not due to backscattering. A new conductivity formula is derived based on diffusion that is found to be very similar to the Drude-Smith conductivity formula, thereby explaining many of the previous successes of the Drude-Smith model.

125 citations


Authors

Showing all 6336 results

NameH-indexPapersCitations
Andrew G. Clark140823123333
Ming Li103166962672
Joseph Sarkis10148245116
Arthur C. Graesser9561438549
Kevin J. Harrington8568233625
Kui Ren8350132490
Bart Preneel8284425572
Ming-Hui Chen8252529184
Yuguang Fang7957220715
Wenjing Lou7731129405
Bernard Lown7333020320
Joe Zhu7223119017
Y.S. Lin7130416100
Kevin Talbot7126815669
Christof Paar6939921790
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202326
202295
2021762
2020836
2019761
2018703