Sentence examples for mutual diffusion data from inspiring English sources

The model was validated to show good concurrence with the experimental mutual diffusion data.

Predictions of mutual diffusion from the self-diffusion data and published thermodynamic data by using the Vrentas-Duda theory are in agreement with the measured mutual diffusivities.

Model 1&2 proposed in this work well correlate the experimental data of mutual diffusion coefficients in PIB/solvent systems and PMS-BR copolymer/solvent systems.

A model which reflects a more realistic terminal state has been proposed to fairly fit the experimental data, by which the mutual diffusion coefficient Dm can be determined.

Mutual diffusion coefficients were determined by comparison of the RBS data to a mean-field interdiffusion model using the fast mode expression for mobility.

The mutual diffusion coefficient indicates that the flux of a diffusing component is proportional to the concentration gradient.

The exceptInn, acetone–chlorecent, is an associating mixture exhibiting a negative deviation from Raoult's law; the anomalous behaviour may simpublicationsult of experimental errors, but coulD'Agostinoivety be alcounted for on the basis that strong compound formation means that the tracer diffusivities cannot in this case be identified with the molecular mobilities of each species.

Diffusion data were processed using the FSL Diffusion Toolbox.

Hao, L. & Leaist, D. G. Binary mutual diffusion coefficients of aqueous alcohols.

The mutual diffusion coefficients of binary gas mixture of CO2 CH4 in coal are computed through Maxwell Stefan diffusion theory.

Self-diffusion and mutual diffusion of CO2 CH4 mixture are investigated through molecular simulation for the first time.