Modelling fibrinolysis: 1D continuum models

Continuum and Non-continuum Modelling of Nanofluidics

Recent development in nanoand biotechnology has opened a new field of microand nanofluidics. Many MEMS (micro-electro-mechanical-systems) and NEMS ( nano-electromechanical-systems ) are based on the fluid motion. Additionally, the analysis of biological samples, drug design and nanomedicine are connected to nanoliter fluid flow. The challenge for understanding such small systems lies in the dif...

Continuum Modelling of Traffic Flow

We wish to consider the problem of modelling flow of vehicles within a traffic network. In the past, stochastic traffic models have been developed [13, 8] in order to investigate a wide range of traffic configurations. However, if the population is sufficiently large, these stochastic processes tend towards a continuum approach. Consequently, this approach is most useful when considering long, ...

Analyzing and modelling 1+1d markets

We report a statistical analysis of the Island ECN (NASDAQ) order book. We determine the static and dynamic properties of this system, and then analyze them from a physicist’s viewpoint using an equivalent particle system obtained by treating orders as massive particles and price as position. We identify the fundamental dynamical processes, test existing particles models of such markets against...

Continuum Flow Models

A continuum approach to modelling cognitive disorders.

At the present time, the dominant conceptual framework in neuroscience views neurons as discrete information processing units. While this framework has undoubtedly been successful in explaining phenomena at the single-cell level, it has had less success in explaining large-scale neural phenomena such as cognitive disorders. An alternative conceptualization of brain function is in terms of an en...