The magnetic navigation of drugs in the vascular network promises to increase the efficacy and reduce the secondary toxicity of cancer treatments by targeting tumors directly. Recently, dipole field navigation (DFN) was proposed as the first method achieving both high field and high navigation gradient strengths for whole-body interventions in deep tissues. This is achieved by introducing large...

Embedded Systems are inherently heterogeneous. Thus, a model with a variety of perspectives for the representation of the embedded system functionality is of major interest in the design methodology. The underlying heterogeneity of an embedded system specification comes from (a) the existence of a mixed hardware/software structure for efficiently meeting the designer constraints and (b) the nee...

A Doyle–Fuller–Newman (DFN) model for the charge and discharge of nano-structured lithium iron phosphate (LFP) cathodes is formulated on basis that transport within nanoscale LFP electrode particles much faster than cell discharge, therefore not rate limiting. We present some numerical solutions to show relevant parameter values, a variety C-rates, it possible sharp fronts form intrude into fro...

Numerical simulations of microscopic transport processes in porous electrodes lithium-ion batteries demonstrate the presence spatially localized fluctuations physical quantities on microstructure scale. They can influence macroscopic battery characteristics (for example, degradation rates). These cannot be captured a straightforward manner by widely used electrode theory Doyle, Fuller, and Newm...

A numerical characterization of a fractured rock mass and its mechanical behavior using discontinuum approach was carried out utilizing lattice-spring-based synthetic (LS-SRM) models. First, LS-SRM models on laboratory scale were created to reproduce standard tests Triassic sandstone samples from quarry in Germany. Subsequently, the intact properties upscaled an element volume representative fo...

We consider flows in fractured media, described by Discrete Fracture Network (DFN) models. We perform an Uncertainty Quantification analysis, assuming the fractures’ transmissivity coefficients to be random variables. Two probability distributions (log-uniform and log-normal) are used within different laws that express the coefficients in terms of a family of independent stochastic variables; t...

The equivalent pipe network (EPN) model is an effective way to fluid flow in large-scale fractured rock masses with a complex fracture due its straightforwardness and computational efficiency. This study presents the EPN for characterizing through three-dimensional networks using Monte-Carlo method. extracted from original discrete (DFN) used simulate processes. validity of proposed modeling ap...