We investigate diffusion in three dimensions on a comb-like structure in which the particles move freely in a plane, but, out of this plane, are constrained to move only in the perpendicular direction. This model is an extension of the two-dimensional version of the comb model, which allows diffusion along the backbone when the particles are not in the branches. We also consider memory effects, which may be handled with different fractional derivative operators involving singular and non-singular kernels. We find exact solutions for the particle distributions in this model that display normal and anomalous diffusion regimes when the mean-squared displacement is determined. As an application, we use this model to fit the anisotropic diffusio...
Diffusion-weighted imaging is an in vivo, non-invasive medical diagnosis technique that uses the Bro...
In biological contexts, experimental evidence suggests that classical diffusion is not the best desc...
The first objective of this project is to develop new efficient numerical methods and supporting err...
Abstract—In this paper, a new fractional order generalization of the diffusion equation is developed...
In this paper, a new fractional order generalization of the diffusion equation is developed to descr...
The quantification of anomalous diffusion is increasingly being recognised as an advanced modality o...
The quantification of anomalous diffusion is increasingly being recognised as an advanced modality o...
Fractional calculus models are steadily being incorporated into descriptions of diffusion in complex...
Measuring molecular diffusion has been used to characterize the properties of living organisms and p...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Anisotropic diffusion in the nervous system is most commonly modeled by apparent diffusion tensor, w...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Diffusion-weighted imaging is an in vivo, non-invasive medical diagnosis technique that uses the Bro...
In biological contexts, experimental evidence suggests that classical diffusion is not the best desc...
The first objective of this project is to develop new efficient numerical methods and supporting err...
Abstract—In this paper, a new fractional order generalization of the diffusion equation is developed...
In this paper, a new fractional order generalization of the diffusion equation is developed to descr...
The quantification of anomalous diffusion is increasingly being recognised as an advanced modality o...
The quantification of anomalous diffusion is increasingly being recognised as an advanced modality o...
Fractional calculus models are steadily being incorporated into descriptions of diffusion in complex...
Measuring molecular diffusion has been used to characterize the properties of living organisms and p...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Anisotropic diffusion in the nervous system is most commonly modeled by apparent diffusion tensor, w...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Water molecule diffusion in the brain is measured using a magnetic resonance imaging method. The ani...
Diffusion-weighted imaging is an in vivo, non-invasive medical diagnosis technique that uses the Bro...
In biological contexts, experimental evidence suggests that classical diffusion is not the best desc...
The first objective of this project is to develop new efficient numerical methods and supporting err...