Molecular modeling based computational approaches can shed light onto the atomic level details of gene delivery systems, thus provide valuable input that cannot be readily obtained with experimental techniques.
In this study, we proposed a nonlinear ODE-model based computational method to construct a cell-specific IRN during IAV infection.
Agent based computational modeling and simulation can capture human behaviors, emergency events, and complex social networks from the bottom up.
A numerical analysis model based on computational fluid dynamics (CFD) has evaluated this conceptual system.
A transient model based on computational fluid dynamics (CFD) was developed to predict the thermal performance of earth-air heat exchanger systems.
A quasi-steady state, 3-D model based on computational fluid dynamics (CFD) was developed to evaluate the heating/cooling potential of EAHE system.
Moreover, it proposes a new method for the calibration of the traditional sloshing lumped model, based on computational fluid dynamics, which could reduce development costs of experiments.
Some criteria for design of the most critical parts of the cooling system are provided using both a model based on Computational Fluid Dynamics (CFD) techniques and the analytical thermal model.
In this paper, we have used particle image velocimetry (PIV) technique and CFD model based on computational snapshot approach for systematically studying influence of gas flow rate on structure of trailing vortices behind blades of a Rushton turbine.
Here, a new method for the calibration of the traditional sloshing lumped model, based on computational fluid dynamics instead of real experiments, is proposed and applied to a specific fluid system.
The final goal of this study is to develop a numerical prediction model, based on computational wind engineering, as accurate as possible to predict wind energy distribution of a local area.
