Engineering surfaces can be characterized as more or less randomly rough.
The basic equations of the improved method are described, with the help of which the description of sorption phenomena on rough surfaces can be characterized.
Understanding molecular ordering is a critical step in achieving molecular self-assembly for the fabrication of nanomaterials, and molecular ordering in the adsorption of large molecules on atomically flat surfaces can be characterized with precision by scanning tunneling microscopy (STM).
In this manner, the wettability of surfaces can be characterized by evaluating the resulting droplet size distribution.
Our analyses demonstrated that spatial pollutant surfaces can be characterized using mobile-monitoring protocols, with clear gradients and hot spots in and around two major roadways, especially for UFPs.
The surface waviness can be characterized by a parameter built through the mean flow thickness, h, and its standard deviation (S.D ., σ, as 0.5σ/h, which is almost constant, 0.1, in all experiments.
However, our results showed that the lateral heterogeneity associated with backscattered surface waves can be characterized as the lateral variation of attenuation coefficients.
They can be independent like in handwriting, when one writes on a hard surface, or can be characterized by a master-slave relationship, like in the experiments described in the present study.
Protein substructures involved in the recognition of binding partners define continuous patches on the surface and can be characterized by the ability to visit multiple conformations, a subset of which may be optimally selected by the binding partner.
