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Roger Frech – One of the best experts 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 – One of the best experts 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 – One of the best experts 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.
Dharshani N Bopege – One of the best experts 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.
John Ralph – One of the best experts on this subject based on the ideXlab platform.

preparation of monolignol γ Acetate γ p hydroxycinnamate and γ p hydroxybenzoate conjugates selective deacylation of phenolic Acetates with hydrazine Acetate
RSC Advances, 2013CoAuthors: Matthew Regner, John Ralph, Fachuang Lu, Allison Mohammadi, Timothy J PearsonAbstract:We report here a reliable and facile synthesis of a range of monolignol γphydroxycinnamate (including pcoumarate, ferulate, and caffeate), γAcetate, and γphydroxybenzoate conjugates, many not previously reported, that are either putative intermediates in the biosynthesis of natural lignins or new monomerconjugates destined for upcoming designer lignins. The key was the development of a highly selective deacylation approach for phenolic Acetates; i.e., a method that cleaves phenolic Acetates while leaving the sensitive monolignol ester conjugates intact.