To reach this goal, the evolution of microstructure is predicted by a dislocation density-based constitutive model in which the effect of strain reversal is considered.
Results show that the non-Gaussian effects of 3He gas diffusion in healthy rat lungs are directly attributed to the anisotropic geometry of lung microstructure as predicted by the Yablonskiy model, and that quantitative analysis over the entire lung can be reliably repeated in time-course studies of the same animal.
The chloride ionic diffusivity in cement-based microstructures is predicted by pore-scale modeling using a modified lattice Boltzmann method.
A variety of ordered microstructures are predicted by controlling the volume fractions of different components and the Flory–Huggins interaction parameters.
Next, the optical-microscope images from weld zone and base metal are used to validate the microstructure predicting model.
The minimum total thermal conductivity for various silica aerogel microstructures can be well predicted by the present model for various temperatures, pressures and densities.
Additionally, penetration of the resin through the fabric is observed by the digital microscope and the internal damage of the laminates is qualitatively predicted by the microstructure of the internal fabric yarns.
The yield stress as well as the microstructure evolution during tempering are successfully predicted by combining these results.
Thus, task performance in the control group, but not the Tourette group, is predicted by the WM microstructure of the CC, whereas task performance of the Tourette group, but not the control group, is significantly predicted by the WM microstructure of the FM.
Most importantly, we show that task performance for the TS group (but not for controls) is strongly predicted by the WM microstructure of the FM pathways that lead to the prefrontal cortex and by the functional magnetic resonance imaging blood oxygen level-dependent response in prefrontal areas connected by these tracts.
