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The modeling approach incorporates atomistic modeling, by virtue of molecular dynamics (MD) simulation, for simulating the initial unstrained equilibrium state, and equivalent-continuum modeling (ECM), by way of finite element approximations (FEA), for modeling the subsequent static/dynamic behaviors.
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A data-driven user simulation technique for simulating user intention and utterance is introduced.
This research can positively aid the researchers and energy managers in deciding the feasible simulation tool for simulating their respective prototypes.
We previously developed a numerical simulation method for simulating a coupled atmospheric gas, surface water, and groundwater system (called the ASG method) that employs a saturation equation for flow in a porous medium; this equation allows both the void fraction of water in the surface system and water saturation in the porous medium to be solved simultaneously.
We have described the VERTEX simulation tool for simulating LFPs in large neuronal populations.
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This study evaluated the performance of several turbulence models, including the standard k ɛ model, low Reynolds number k ɛ models, the v2f model, Large Eddy Simulation (LES) models, and Detached Eddy Simulation (DES) models, for simulating the pressure drop and transitional flows through pleated filters both with and without an electrostatic precipitator.
Finally, plans for streamlining the machine-design simulation sequence, and for simulating beam dynamics from the source to the target in a consistent and comprehensive manner, are described.
A generalized weight-based particle simulation scheme suitable for simulating magnetized plasmas, where the zeroth-order inhomogeneity is important, is presented.
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