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Figure 1A shows the model configuration of this study.
Open image in new window Fig. 5 The stick model configuration of rTiO2-NP and butadiene with their bond length.
Open image in new window Fig. 3 Ball-and-stick model configuration of butadiene interaction on cross bridge of Ti O in rutile TiO2 nanoparticle.
Open image in new window Fig. 1 Ball-and-stick model configuration of a rutile TiO2 nanoparticle front view (to specify the location of three) and top view, b rutile TiO2 (110) nano-surface.
In order to test five samples for each individual model configuration of density (1.64 g/cm versus 0.5 g/cm), construct (locking versus non-locking) and specific test (torsional versus eccentric bending), a total of 40 samples were used (Fig. 1).
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This study is concerned with the optimal model configuration for aerodynamic modeling of long open cargo railway trains.
Fig. 1 A Schematic illustration of the model configuration for a single patch surrounded by aseismic slip.
The algorithm identified optimal model configurations for set numbers of parameters through information criterion scores.
Configural invariance refers to the invariance of the model configuration, i.e. the pattern of free and fixed model parameters.
Depending on the model configuration and the set of parameters, the calculations were done until a stationary solution was achieved (on average approx. 10 iterations).
The description of the model configuration is contained in the third paper, which also details the analytical calculation of the angular momentum.
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