Sentence examples for modeling approach combining from inspiring English sources

This modeling approach, combining computational fluid dynamics (CFD) with biofilm models allows a systematic study of biofouling in membrane systems.

A multi-scale modeling approach combining the discrete element method (DEM), a compartment model, and a population balance (PB) has been used to predict inter-particle coating variability in a horizontal, rotating drum.

The precipitate morphology in Mg rare earth (RE) element binary alloys is predicted using a multi-scale modeling approach combining a three-dimensional (3-D) phase-field model and first-principles density functional theory calculations.

Then the second part presents crystal plasticity based modeling approach combining the plastic anisotropy and asymmetry at high homologous temperature considering an important single crystal like alloy.

A new modeling approach combining the lattice Boltzmann method (LB) and the cellular automaton technique (CA) was developed to simulate solidification at the microscale.

A hybrid modeling approach combining two-dimensional atomistic molecular dynamics simulations of vacancy formation with a continuum analysis of vacancy diffusion has been used to predict the vacancy content of vapor deposited nickel as a function of deposition rate/temperature and incident flux energy/angle.

The modeling approach combines detailed finite rate chemical kinetics mechanisms that model the formation of Polycyclic Aromatic Hydrocarbon (PAH) species up to pyrene, and a bivariate method of moments that describes soot particles and aggregates by their volume and surface area.

With this argument, we use a computational modeling approach combined with in vivo electrophysiological data obtained from an experimental model of status epilepticus to infer about changes that may lead to a seizure.

PAM modeling approach combines the advantages and eliminates the disadvantages of the two methods aforementioned.

This mixed modeling approach combines numerical solutions with especially fitted analytical approximations.

This modeling approach combines the theoretical underpinnings of behavioral economics with spatiotemporal data describing a region's historical development patterns.