Academic literature on the topic 'Contrasting diffusivity'

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Journal articles on the topic "Contrasting diffusivity"

1

Lai, King C., and James W. Evans. "Complex oscillatory decrease with size in diffusivity of {100}-epitaxially supported 3D fcc metal nanoclusters." Nanoscale 11, no. 37 (2019): 17506–16. http://dx.doi.org/10.1039/c9nr05845a.

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2

Gaudiello, Antonio, and Ali Sili. "Homogenization of Highly Oscillating Boundaries with Strongly Contrasting Diffusivity." SIAM Journal on Mathematical Analysis 47, no. 3 (2015): 1671–92. http://dx.doi.org/10.1137/140987225.

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3

Sili, Ali. "Diffusion through a composite structure with a high contrasting diffusivity." Asymptotic Analysis 89, no. 1-2 (2014): 173–87. http://dx.doi.org/10.3233/asy-141241.

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4

Nandakumaran, A. K., and Abu Sufian. "Strong contrasting diffusivity in general oscillating domains: Homogenization of optimal control problems." Journal of Differential Equations 291 (August 2021): 57–89. http://dx.doi.org/10.1016/j.jde.2021.04.031.

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5

Perriot, Romain, and Blas P. Uberuaga. "Structural vs. intrinsic carriers: contrasting effects of cation chemistry and disorder on ionic conductivity in pyrochlores." Journal of Materials Chemistry A 3, no. 21 (2015): 11554–65. http://dx.doi.org/10.1039/c5ta01692d.

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Cation disorder liberates and enhances the mobility of structural carriers in pyrochlores. However, depending on the chemistry and type of defect, antisites can trap intrinsic carriers, and reduce the diffusivity.
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6

Sili, Ali. "Diffusion through a composite medium with a semi-periodic structure and high contrasting diffusivity." Asymptotic Analysis 98, no. 4 (2016): 309–24. http://dx.doi.org/10.3233/asy-161370.

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7

Sharma, Manju, and S. Yashonath. "How does contrasting dependence of impurity-atom diffusivity on the density of host disordered medium arise?" Indian Journal of Physics 83, no. 1 (2009): 31–47. http://dx.doi.org/10.1007/s12648-009-0002-6.

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8

Jarníková, Tereza, Elise M. Olson, Susan E. Allen, Debby Ianson, and Karyn D. Suchy. "A clustering approach to determine biophysical provinces and physical drivers of productivity dynamics in a complex coastal sea." Ocean Science 18, no. 5 (2022): 1451–75. http://dx.doi.org/10.5194/os-18-1451-2022.

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Abstract. The balance between ocean mixing and stratification influences primary productivity through light limitation and nutrient supply in the euphotic ocean. Here, we apply a hierarchical clustering algorithm (Ward's method) to four factors relating to stratification (wind energy, freshwater index, water-column-averaged vertical eddy diffusivity, and halocline depth), as well as to depth-integrated phytoplankton biomass, extracted from a biophysical ocean model of the Salish Sea. Running the clustering algorithm on 4 years of model output, we identify distinct regions of the model domain t
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9

Ma, Ke, Mathijs Janssen, Cheng Lian, and René van Roij. "Dynamic density functional theory for the charging of electric double layer capacitors." Journal of Chemical Physics 156, no. 8 (2022): 084101. http://dx.doi.org/10.1063/5.0081827.

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We consider the charging of a model capacitor comprised of two planar electrodes and an electrolyte. Upon switching on a voltage difference, electric double layers build up in this setup, which we characterize with a classical dynamic density functional theory (DDFT) that accounts for electrostatic correlations and for molecular excluded volume of finite-sized ions and solvent molecules. Our DDFT predicts the electrode charge Q( t) to form exponentially with two timescales: at early times, the system relaxes on the RC time, namely, λ D L/[ D(2 + σ/ λ D)], with λ D being the Debye length, L bei
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10

Hariri, Saeed. "Near-Surface Transport Properties and Lagrangian Statistics during Two Contrasting Years in the Adriatic Sea." Journal of Marine Science and Engineering 8, no. 9 (2020): 681. http://dx.doi.org/10.3390/jmse8090681.

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This paper describes the near-surface transport properties and Lagrangian statistics in the Adriatic semi-enclosed basin using synthetic drifters. Lagrangian transport models were used to simulate synthetic trajectories from the mean flow fields obtained by the Massachusetts Institute of Technology general circulation model (MITgcm), implemented in the Adriatic from October 2006 until December 2008. In particular, the surface circulation properties in two contrasting years (2007 had a mild winter and cold fall, while 2008 had a normal winter and hot summer) are compared here. In addition, the
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