Polymeric materials display distinguished characteristics which stem from the interplay of
phenomena at various length and time scales. Further development of polymer systems …

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 …

Disperse two-phase flows are flows containing two non-miscible phases where one phase is
present as a set of discrete elements dispersed in the second one. These discrete elements …

In the paradigm of data-intensive science, automated, unsupervised discovering of
governing equations for a given physical phenomenon has attracted a lot of attention in …

Unveiling physical laws from data is seen as the ultimate sign of human intelligence. While
there is a growing interest in this sense around the machine learning community, some …

We apply smoothed dissipative particle dynamics (SDPD)[Español and Revenga, Phys.
Rev. E 67, 026705 (2003)] to model solid particles in suspension. SDPD is a …

Phase diagrams for monodisperse and polydisperse diblock copolymer melts and a random
multiblock copolymer melt are constructed using dissipative particle dynamics simulations. A …

In this work we study several learning strategies for fluid sloshing problems based on data.
In essence, a reduced-order model of the dynamics of the free surface motion of the fluid is …

In biofluid flow systems, often the flow problems of fluids of complex structures, such as the
flow of red blood cells (RBCs) through complex capillary vessels, need to be considered …

Unresolved and semi-resolved CFD-DEM coupling are frequently used for modeling
particulate flows due to their high efficiency and satisfying accuracy. The grid size (in …