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Acetate
The Experts below are selected from a list of 261 Experts worldwide ranked by ideXlab platform
Roger Frech – 1st expert on this subject based on the ideXlab platform

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
Journal of Physical Chemistry B, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactor…

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
The Journal of Physical Chemistry, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactors. This trend in prefactors mirrors the observed trend in degree of ionic association for these electrolytes.
Matt Petrowsky – 2nd expert on this subject based on the ideXlab platform

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
Journal of Physical Chemistry B, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactor…

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
The Journal of Physical Chemistry, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactors. This trend in prefactors mirrors the observed trend in degree of ionic association for these electrolytes.
Allison M Fleshman – 3rd expert on this subject based on the ideXlab platform

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
Journal of Physical Chemistry B, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactor…

ion transport with charge protected and non charge protected cations using the compensated arrhenius formalism part 2 relationship between ionic conductivity and diffusion
The Journal of Physical Chemistry, 2012CoAuthors: Matt Petrowsky, Allison M Fleshman, Dharshani N Bopege, Roger FrechAbstract:Temperaturedependent ionic conductivities and cation/anion selfdiffusion coefficients are measured for four electrolyte families: TbaTflinear primary alcohols, LiTflinear primary alcohols, TbaTfnalkyl Acetates, and LiTfnalkyl Acetates. The Nernst–Einstein equation does not adequately describe the data. Instead, the compensated Arrhenius formalism is applied to both conductivity and diffusion data. General trends based on temperature and alkyl chain length are observed when conductivity is plotted against cation or anion diffusion coefficient, but there is no clear pattern to the data. However, plotting conductivity exponential prefactors against those for diffusion results in four distinct curves, one each for the alcohol and Acetate families described above. Furthermore, the TbaTfalcohol and TbaTfAcetate data are “in line” with each other. The conductivity prefactors for the LiTfalcohol data are smaller than those for the TbaTf data. The LiTfAcetate data have the lowest conductivity prefactors. This trend in prefactors mirrors the observed trend in degree of ionic association for these electrolytes.