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The structures of both 3a and 3b have been optimized by using B3LYP/6-31G B3LYP/6-31Gl of theory, and the the optimized geometries are shown in Fig. 3.
In this paper, the tribo-resistance parameters have been optimized by using Taguchi's experimental design approach.
Geometries have been optimized by using density functional theory at B3LYP/6-31G** B3LYP/6-31G**ry.
The ground state structures have been optimized by using DFT-B3LYP/6-31G** DFT-B3LYP/6-31G** DFT-B3LYP/6-31G**
The MONSTER design has been optimized by using Monte Carlo (MC) techniques.
The ground state geometries have been optimized by using density functional theory.
Similar(47)
In particular, we show how a piecewise linear mapping is optimized by using particle swarm optimization (PSO) and a suitable fitness function quantifying the objective of the problem.
In the first step, the growth medium was optimized by using screening designs for finding the optimal carbon and nitrogen source.
The contrast of the picture was optimized by using picture editing software.
Structure, size and material were optimized by using HFSS and the best scheme was given.
In addition, the parameter settings of the proposed approach were optimized by using the Taguchi method.
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