Academic literature on the topic 'Nernst-Einstein relation'

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Journal articles on the topic "Nernst-Einstein relation"

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Shao, Yunqi, Keisuke Shigenobu, Masayoshi Watanabe, and Chao Zhang. "Role of Viscosity in Deviations from the Nernst–Einstein Relation." Journal of Physical Chemistry B 124, no. 23 (2020): 4774–80. http://dx.doi.org/10.1021/acs.jpcb.0c02544.

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March, N. H., and M. P. Tosi. "Nernst-Einstein Relation and Effective Valence in a Strongly Coupled Tungsten Plasma." Physics and Chemistry of Liquids 35, no. 2 (1997): 127–30. http://dx.doi.org/10.1080/00319109708030580.

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Brown, Peter T., Debayan Mitra, Elmer Guardado-Sanchez, et al. "Bad metallic transport in a cold atom Fermi-Hubbard system." Science 363, no. 6425 (2018): 379–82. http://dx.doi.org/10.1126/science.aat4134.

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Strong interactions in many-body quantum systems complicate the interpretation of charge transport in such materials. To shed light on this problem, we study transport in a clean quantum system: ultracold lithium-6 in a two-dimensional optical lattice, a testing ground for strong interaction physics in the Fermi-Hubbard model. We determine the diffusion constant by measuring the relaxation of an imposed density modulation and modeling its decay hydrodynamically. The diffusion constant is converted to a resistivity by using the Nernst-Einstein relation. That resistivity exhibits a linear temperature dependence and shows no evidence of saturation, two characteristic signatures of a bad metal. The techniques we developed in this study may be applied to measurements of other transport quantities, including the optical conductivity and thermopower.
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Świergiel, Jolanta, Iwona Płowaś, Jan Grembowski, and Jan Jadżyn. "Stokes–Einstein–Nernst Relation in Dilute Electrolyte Solutions of Lithium Perchlorate in Polyethylene Glycols (200, 300, 400, and 600)." Journal of Chemical & Engineering Data 60, no. 12 (2015): 3588–93. http://dx.doi.org/10.1021/acs.jced.5b00577.

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Beke, Dezső L., and Z. Erdélyi. "Diffusion under Large Driving Forces." Defect and Diffusion Forum 249 (January 2006): 119–26. http://dx.doi.org/10.4028/www.scientific.net/ddf.249.119.

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In the diffusion literature the classical Nernst-Einstein equation is used to describe the effect of driving forces. This implies that the diffusive flux is proportional to the driving force. However, this linear law will not be valid if the driving force is very large. Attempts in the literature for the derivation of an “improved relation” till now were restricted to the cases when the diffusion coefficient was independent of the composition. On the other hand, it is also known that even if no driving forces (other than related to the chemical driving force) are present then deviations from the Fick I law are expected on nanoscale. In this lecture attempts will be made to find a general description for the above problems, i.e. when the driving forces and the diffusion asymmetry (the composition dependence of the diffusion coefficient) are large.
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Sengwa, R. J., Shobhna Choudhary, and Priyanka Dhatarwal. "Characterization of relaxation processes over static permittivity frequency regime and compliance of the Stokes-Einstein-Nernst relation in propylene carbonate." Journal of Molecular Liquids 225 (January 2017): 42–49. http://dx.doi.org/10.1016/j.molliq.2016.10.141.

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Mercier, Jean-François, Frédéric Tessier, and Gary W. Slater. "An exactly solvable Ogston model of gel electrophoresis: VIII. Nonconducting gel fibers, curved field lines, and the Nernst-Einstein relation." ELECTROPHORESIS 22, no. 13 (2001): 2631–38. http://dx.doi.org/10.1002/1522-2683(200108)22:13<2631::aid-elps2631>3.0.co;2-3.

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Tanguep Njiokep, Eugene M., and Helmut Mehrer. "Tracer Diffusion and Ionic Conduction in Standard Silica Glasses." Defect and Diffusion Forum 237-240 (April 2005): 282–90. http://dx.doi.org/10.4028/www.scientific.net/ddf.237-240.282.

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The tracer diffusivities of 22Na and 45Ca in two high-quality standard silica glasses have been measured in the temperature range between 473 and 783 K. The temperature dependences of the tracer diffusion coefficients in both glasses follow Arrhenius laws. The diffusion of 22Na is six to seven orders of magnitude faster than the diffusion of 45Ca. The ionic conductivity was determined by impedance spectroscopy and the conductivity diffusion coefficient Ds was deduced from the dc conductivity via the Nernst-Einstein relation. The temperature dependences of Ds for both glasses follow also Arrhenius functions. The activation parameters and pre-exponential factors for tracer diffusion and for conductivity diffusion were determined. The activation enthalpy of 22Na diffusion is almost equal to the activation enthalpy of the dc conductivity. We conclude that the conductivity of standard glasses is due to the motion of Na ions. The diffusivities of 22Na and 45Ca in soda-lime glasses increase with increasing Na2O content.
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Beke, Dezső L., Z. Erdélyi, and G. L. Katona. "Nonlinear Stress Effects in Diffusion." Defect and Diffusion Forum 264 (April 2007): 117–22. http://dx.doi.org/10.4028/www.scientific.net/ddf.264.117.

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According to classical Nernst-Einstein equation the diffusive flux is proportional to the driving force. However, this linear law is not valid if the driving force is very large. Attempts in the literature for the derivation of an “improved relation” till now were mostly restricted to the cases when the diffusion coefficient was independent of the composition. On the other hand, even if there are no externaldriving forces (other than related to the chemical driving force) present, deviations from the Fick I law are expected (transition from parabolic to linear growth-behaviour) on nanoscale for composition dependent diffusion coefficients. General description for the case when the driving forces and the diffusion asymmetry are large, is treated. The special case of large pressure gradients is discussed in detail and their effects on the deviation form the parabolic growth law on nanoscale will be analyzed. Effect of a pressure gradient on the crossover thickness between parabolic and linear regimes and on the interface transfer coefficient, K, is also treated.
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Tankovsky, N., and E. Syrakov. "A modified Einstein–Nernst relation between mobility and diffusion of charges to evaluate the non-equilibrium, transient processes of ions in electrolytes." Ionics 15, no. 5 (2008): 589–95. http://dx.doi.org/10.1007/s11581-008-0305-1.

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Dissertations / Theses on the topic "Nernst-Einstein relation"

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WANG, ZHENG. "HIERARCHICAL APPROACH TO PREDICTING TRANSPORT PROPERTIES OF A GRAMICIDIN ION CHANNEL WITHIN A LIPID BILAYER." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1069794237.

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Book chapters on the topic "Nernst-Einstein relation"

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Kolanoski, Hermann, and Norbert Wermes. "Movement of charge carriers in electric and magnetic fields." In Particle Detectors. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198858362.003.0004.

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For the detection of charged particles many detector principles exploit the ionisation in sensing layers and the collection of the generated charges by electrical fields on electrodes, from where the signals can be deduced. In gases and liquids the charge carriers are electrons and ions, in semiconductors they are electrons and holes. To describe the ordered and unordered movement of the charge carriers in electric and magnetic fields the Boltzmann transport equation is introduced and approximate solutions are derived. On the basis of the transport equation drift and diffusion are discussed, first in general and then for applications to gases and semiconductors. It turns out that, at least for the simple approximations, the treatment for both media is very similar, for example also for the description of the movement in magnetic fields (Lorentz angle and Hall effect) or of the critical energy (Nernst-Townsend-Einstein relation).
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Tinker, Peter B., and Peter Nye. "Local Movement of Solutes in Soil." In Solute Movement in the Rhizosphere. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780195124927.003.0008.

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In the previous chapter, we dealt with the distribution of solutes between gas, liquid and solid phases in the soil at equilibrium; and with the rates of redistribution between these phases within soil pores. In this chapter, we consider movement of the order of 1 –1000 mm from one volume of soil to another. Such movements occur largely by diffusion and mass flow of the soil solution or soil air, and by mass movement of the body of the soil. Major movements that involve the balance and amount of solutes in the whole soil profile, including plant uptake and drainage losses, are treated in chapter 11. The process of diffusion results from the random thermal motion of ions, atoms or molecules. Consider a long column of unit cross-section orientated along the x axis, and containing a mixture of components in a single phase at constant temperature and external pressure. If the concentration of an uncharged component is greater at section A than at section B, then on average more of its molecules will move from A to B than from B to A. The net amount crossing a unit section in unit time, which is the flux, is given by the empirical relation known as Pick’s first law: . . . F = − D dC/dx (4.1) . . . where F is the flux, and dC/dx is the concentration gradient across the section. The minus sign arises because movement is from high to low concentration in the direction of increasing x. The diffusion coefficient, D, is thus defined by the equation as a coefficient between two quantities, F and dC/dx, which can be measured experimentally. It is not necessarily a constant. The diffusion coefficient of the molecules in a phase is directly proportional to their absolute mobility, u, which is the limiting velocity they attain under unit force. Terms D and u are related by the Nernst-Einstein equation: . . . D = ukT (4.2) . . . where k is the Boltzmann constant and T is the temperature on the Kelvin scale. The Nernst-Einstein equation is derived as follows (Atkins 1986, p. 675).
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Conference papers on the topic "Nernst-Einstein relation"

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Chen, Ken S., and Michael A. Hickner. "A New Constitutive Model for Predicting Proton Conductivity in Polymer Electrolytes." In ASME 2004 International Mechanical Engineering Congress and Exposition. ASMEDC, 2004. http://dx.doi.org/10.1115/imece2004-60848.

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A new constitutive model relating proton conductivity to water content in a polymer electrolyte or membrane is presented. Our constitutive model is based on Faraday’s law and the Nernst-Einstein equation; and it depends on the molar volumes of dry membrane and water but otherwise requires no adjustable parameters. We derive our constitutive model in two different ways. Predictions of proton conductivity as a function of membrane water content computed from our constitutive model are compared with that from a representative correlation and other models as well as experimental data from the literature and those obtained in our laboratory using a 4-point probe.
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