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Layers structural data

Figure 18. Calculated polarization curves of reduction of single-charged cation in 0.1 M solutions of various supporting electrolytes. In the calculation, it was assumed that tpi = if/ being determined from the double-layer structure data. The dot-and-dash line corresponds to (/ti = 0 (according to Ref. 110). Figure 18. Calculated polarization curves of reduction of single-charged cation in 0.1 M solutions of various supporting electrolytes. In the calculation, it was assumed that tpi = if/ being determined from the double-layer structure data. The dot-and-dash line corresponds to (/ti = 0 (according to Ref. 110).
Such an effect was in fact observed recentlyit is vividly illustrated in Figure 22. In the region of high pH, the electrode is exposed to sufficiently negative potentials at which, as is known from double-layer structure data. [Pg.152]

Noteworthy also is the extensive compilation of early data on layered MX2 given by Wilson and Yoffe [37], who worked out a group-by-group correlation of transmission spectra of the compounds to available electrical and structural data and produced band models in accord with a molecular orbital approach. [Pg.22]

Surface Sensitivity. Using these Ideas, one can gather Information on a catalyst which can Indicate exactly which elements are on the surface and which are In second or deeper layers. To lllutstrate this Idea, consider MoS2 This material has a layered structure which has Mo sandwiched between sulfur layers. LEISS data reported elsewhere show that at low energies 600 eV) almost no Mo Is observed.(11) At higher energies,... [Pg.137]

The Seebeck coefficient of the layered structure Bi2Sr2Co06+s is —33 p,V K-1 at 250 K. The defects are confined to the Co02 planes in the structure, (a) Is the conductivity by way of holes or electrons (b) What are the ionic states of the Co ions in the phase (c) What is the ionic formula of the compound, (d) What is the value of 8 [Note the structure is very similar to that of Bi2Sr2CuC>6, Section 8.6. Data adapted from Y. Nagao and I. Terasaki, Phys. Rev., B76, 144203-1-144203-4 (2007).]... [Pg.348]

Double layer emersion continues to allow new ways of studying the electrochemical interphase. In some cases at least, the outer potential of the emersed electrode is nearly equal to the inner potential of the electrolyte. There is an intimate relation between the work function of emersed electrodes and absolute half-cell potentials. Emersion into UHV offers special insight into the emersion process and into double layer structure, partly because absolute work functions can be determined and are found to track the emersion potential with at most a constant shift. The data clearly call for answers to questions involving the most basic aspects of double layer theory, such as the role water plays in the structure and the change in of the electrode surface as the electrode goes frcm vacuum or air to solution. [Pg.172]

The layered structure of feedforward neural networks provides a flexible tool that allows us to relate input data to some desired output, but what if there is no output Can a neural network still do something useful Rather curiously, the answer is yes, if we are prepared to employ a different kind of neural network. Numerous classification tasks exist in science, in which... [Pg.380]

The structure of a SOM is different from that of the feedforward network. Instead of the layered structure of the feedforward network, there is a single layer of nodes, which functions both as an input layer and an output layer. In a feedforward network, each node performs a processing task, accepting input, processing it, and generating an output signal. By contrast, in a SOM, every node stores a vector whose dimensionality and type matches that of the samples. Thus, if the samples consist of infrared spectra, each node on the SOM stores a pseudo-infrared spectrum (Figure 12). The spectra at the nodes are refined as the network learns about the data in the database and the vector at each node eventually becomes a blended composite of all spectra in the database. [Pg.381]

With the appropriate fiber-optic probe and data processing techniques, UV-vis spectroscopy may be used to determine the optical thickness of a transparent thin film. It is possible to simultaneously measure thickness of different layers in a multilayer structure as long as each layer falls within the analysis range of the instrument. Typically, this means layers in the 0.5-150/rm range. A further constraint on this technique is that the layer structure of the film must be smooth on the scale of the spot size of the fiber-optic probe. Neighboring layers must have different indices of refraction in order for them to appear as distinct layers to the analyzer. [Pg.99]


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Data structure

Layer structures

Layered structure

Layering structuration

Structural data

Structured data

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