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A completely different approach is to use explicit statistical models of grain noise and defects and to design an optimal filter based on those models.
Grain growth data are analysed using two different models of grain growth, one of which takes pinning forces on the grain boundaries into account.
Diffusion-controlled reactions involving C, O and N atoms are much less efficient on grain surfaces, and the predicted abundances of several molecules, formed in many published models of grain surface chemistry have to be revised downwards.
Through the analysis of existing models of grain size refinements during ball milling and low temperature deformation, we argue that the suppression of thermal processes and low temperature leads to formation of free nanoparticles as the process of fracture dominates over possible cold welding at low temperatures.
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The numerical modeling of grain drying is a topic of great relevance to post-harvest engineering.
A model of grain boundary grooving with the simultaneous sliding is developed.
We present a two-dimensional phase field model of grain boundary statics and dynamics.
We also developed a quantitative model of grain boundary grooving coupled with grain boundary interdiffusion in thin bilayer films.
A continuum model of grain boundary segregation based on gradient thermodynamics and its discrete counterpart (discrete lattice model) are formulated.
Numerical studies by means of the Monte Carlo Potts model of grain growth confirm and complement the analytical results.
A theoretical model of grain boundary hardening considering the various effects of boron-doping has been developed.
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