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These coupled investigations give a better understanding of the diffusion process in this multilayer material.
The understanding of the diffusion phenomenon would be a useful tool for membrane properties design and customization of specific membrane applications in immunoassay.
A good understanding of the diffusion and trapping processes within such materials can inform material choices and component design to reduce the likelihood of such failures.
For predicting the fate and transport of contaminants, a detailed understanding of the diffusion processes in natural porous media is essential.
By matching experimental data to analytical models one can gain a better understanding of the diffusion process for nitrogen into aluminum and formation of aluminum nitride.
Monte Carlo and molecular dynamics simulations were performed to calculate solubility, S, and diffusion, D, coefficients of oxygen and water in polyethylene, and to obtain a molecular-level understanding of the diffusion mechanism.
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The effect of temperature and grain size on superplastic flow was investigated using a relatively coarse-grained (∼20 μm) Mg Al Zn alloy for the inclusive understanding of the dominant diffusion process.
There are still missing pieces in our understanding of the facilitated diffusion mechanism.
In spite of its empirical shortcomings, the correlation provides a universal understanding of the dispersion behaviors in open channels and random particle packs and a new understanding of the coupling behavior of diffusion and convection in particle packs.
Although intra-firm diffusion is therefore crucial to the understanding of overall diffusion patterns the existing literature relating to it has severe limitations and there are no associated policy results.
These insights are mobilised to provide a deeper understanding of the uptake and diffusion of innovations such as SPSS.
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