Sentence examples for roughness features from inspiring English sources

Exact(24)

The phenomenological theory for the anomalous electric double layer (EDL) impedance response (see J. Phys. Chem. C 118, 2014, 5122-5133) foroughgheterogeneousus electrodes is simplified for roughness features larger than the electrolyte screening length.

The channel is characterized by roughness features on the inside, which can be analyzed using optical microscopy techniques.

Hence, injection molded micropillar surfaces can possess similar spatial frequency and roughness features to that of mimicked surfaces.

Our results suggest that neither micron-scale surface roughness features nor the precise symmetry of the quantum well potential confining the 2D system are important factors.

The current numerical scheme is validated with the experimental data and can be used for design and estimation of transport processes in the presence of roughness features.

In parallel with the development of nanoparticle coatings for protection of paper substrates, detailed descriptions of the surface topography with micro- to nanoscale roughness features are needed.

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Similar(36)

This study showed that the surface roughness, feature geometry, chemistry and physicochemistry all interplayed to affect bacterial attachment, adhesion and retention Such a modified stainless steel surface may have the ability to reduce specific fouling in an industrial context.

(i) Roughness: feature modeled by the amplitude modulation rate of the temporal envelope (expressed in asper) and related to the sensation of auditory roughness.

This roughness feature (also defined in Grey [10]) mainly consists in estimating a modulation index at the output of every auditory filter, which is called the partial roughness.

On the other hand, the hybrid hard/soft decision method keeps these images from being misclassified since the roughness feature score is considered simultaneously with the other features in the classification process.

The hard decision classifier misclassifies them as mix early on in the decision tree (see Fig. 1) and does not even get to compute the roughness feature score which greatly differs between mono-photo and the other mono originals.

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