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Relevant bibliographies by topics / Contrasting diffusivity

Academic literature on the topic 'Contrasting diffusivity'

Author: Grafiati

Published: 6 September 2023

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Journal articles

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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 (January 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 (July 11, 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 (January 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 (October 13, 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 that exhibit contrasting wind and freshwater input dynamics, as well as regions of varying water-column-averaged vertical eddy diffusivity and halocline depth regimes. The spatial regionalizations in physical variables are similar in all 4 analyzed years. We also find distinct interannually consistent biological zones. In the northern Strait of Georgia and Juan de Fuca Strait, a deeper winter halocline and episodic summer mixing coincide with higher summer diatom abundance, while in the Fraser River stratified central Strait of Georgia, shallower haloclines and stronger summer stratification coincide with summer flagellate abundance. Cluster-based model results and evaluation suggest that the Juan de Fuca Strait supports more biomass than previously thought. Our approach elucidates probable physical mechanisms controlling phytoplankton abundance and composition. It also demonstrates a simple, powerful technique for finding structure in large datasets and determining boundaries of biophysical provinces.

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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 (February 28, 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 being the electrode separation, σ being the ion diameter, and D being the ionic diffusivity. Contrasting an earlier DDFT study, this early-time response does not depend on the applied potential. At late times, the capacitor relaxes with a relaxation time proportional to the diffusion time L2/ D.

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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 (September 4, 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 Lagrangian statistics for the entire Adriatic Basin after removing the Eulerian mean circulation for numerical particles were calculated. The results indicate that the numerical particles were slower in this simulation when compared with the real drifters. This is because of the reduced energetic flow field generated by the MIT general circulation model during the selected years. The numerical results showed that the balanced effects of the wind-driven recirculation in the northernmost area(which would be a sea response to the Bora wind field) and the Po River discharge cause the residence times to be similar during the two selected years (182 and 185 days in 2007 and 2008, respectively). Furthermore, the mean angular momentum, diffusivity, and Lagrangian velocity covariance values are smaller than in the real drifter observations, while the maximum Lagrangian integral time scale is the same.

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