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The viscosity models discussed here are generally applied to measure the viscosity of nanofluids.
Both these approaches rely on the use of structural features as descriptors; the models discussed here are based on hashed fingerprints and structural keys.
The creation of the models, discussed here, highlight similarities that can be applied to create models from many microscopy techniques including electron microscopy and other optical modalities.
The three distinct cross-ply laminate models discussed here have been shown to be consistent with each other, and with FEA predictions.
Further, many of the models discussed here do not boil down to simple equations for bidirectional reflectance distribution functions or bidirectional scattering surface reflectance distribution functions.
The models discussed here are ideal single-diode model, single-diode (R_{rm s}) model, single-diode (R_{rm p}) model, the two-diode model, and the three-diode model.
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Finally, an integrated model discussed here draws on the semantic model as well.
Thus, the direct effect of pressure imposed by the activation volume term was neglected in the rheological model discussed here.
Finally, the multivariate model discussed here only explains about 7%% of the variance in the dependent variable.
The propagation model discussed here takes into account correlated multipath fading, correlated lognormal shadowing, and a distance dependant trend [18].
Filament dissolution model discussed here has been modified and presented for bipolar RRAM devices by Larentis et al. [85, 86].
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