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Robust computational algorithms are essential for modeling and development of diffusion distillation technology; these are indicated.
The development of diffusion MRI has revolutionized brain imaging by providing the first non invasive window on white matter architecture.
A key goal of this study is to provide data necessary for the development of diffusion kinetics models.
Recently, there have been several technical improvements in DWI, leading to reduced acquisition time and artefacts and enabling the development of diffusion tensor imaging (DTI) as a tool for assessing white matter.
There have been several technical improvements in DWI, leading to reduced acquisition time and artefacts and enabling the development of diffusion tensor imaging (DTI) as a tool for assessing white matter.
In other words, not all of the mentioned structural features of the GeSi-nanoislands can be observed in conditions not conducive to the development of diffusion processes (short-time intervals and low temperatures of growth and high deposition rates).
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We combine diffusion and kinetic expressions with chemical/mechanical property relationships to develop a complete, quantitative model with no arbitrarily adjustable parameters for the time development of diffusion-limited oxidation profiles.
The development of diffusion-wave diagnostic methodologies and their implementation as laser infrared photothermal radiometric diagnostics for industrial materials NDT, has resulted in two emerging NDE/NDT technologies.
The development of diffusion-weighted magnetic resonance imaging, which is sensitive to microstructural changes not visible with conventional volumetric techniques, has led to a number of diffusion imaging studies in AD; these have largely focused on white matter changes.
In addition, with the development of diffusion-weighted imaging by MR (DWI-MR), which has the capability to assess tissue cellularity, MRI has potential as a functional imaging technique.
The development of NMR diffusion imaging and diffusion tensor imaging (DTI) has offered the possibility of studying the porous structures beyond anatomical imaging.
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