Tumors generate physical forces during growth and progression. These physical forces are
able to compress blood and lymphatic vessels, reducing perfusion rates and creating …

A fluid lipid membrane transmits stresses and torques that are fully determined by its
geometry. They can be described by a stress-and torque-tensor, respectively, which yield …

Dissipative particle dynamics (DPD) belongs to a class of models and computational
algorithms developed to address mesoscale problems in complex fluids and soft matter in …

Simulating and predicting multiscale problems that couple multiple physics and dynamics
across many orders of spatiotemporal scales is a great challenge that has not been …

We consider the Brownian motion of a particle and present a tutorial review over the last 111
years since Einstein's paper in 1905. We describe Einstein's model, Langevin's model and …

We study the biomechanical interactions between the lipid bilayer and the cytoskeleton in a
red blood cell (RBC) by develo** a general framework for mesoscopic simulations. We …

Despite decades of research related to hemolysis, the accuracy of prediction algorithms for
complex flows leaves much to be desired. Fundamental questions remain about how …

Patient-specific computational fluid dynamics (CFD) is a promising tool that provides highly
resolved haemodynamics information. The choice of blood rheology is an assumption in …

Cell membranes are vital to shield a cell's interior from the environment. At the same time
they determine to a large extent the cell's mechanical resistance to external forces. In recent …

The cellular uptake of nanoparticles (NPs) has drawn significant attention due to their great
importance and potential in drug delivery, bioimaging, and specific targeting. Here, we …