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Range-based method

Range-based methods whereby the AD is defined solely on the ranges that the investigated descriptors of the training set, that is, the objects used to derive the model in question, span. If a new object to be predicted is within the range of all the model descriptors, then the object is within the AD of the model. [Pg.397]

There are many different data analysis schemes to estimate the structure and molecular parameters of polymers from the neutron scattering data. Herein, we will present several connnon methods for characterizing the scattering profiles, depending only on the applicable q range. These methods, which were derived based on different assumptions, have... [Pg.1414]

The diversity of approaches based on HF (section B3.2.3.4) is small at present compared to the diversity found for DFT. For solids, HF appears to yield results inferior to DFT due to the neglect of electron correlation, but being a genuine many-particle theory it offers the possibility for consistent corrections, in contrast to DFT. Finally, the QMC teclmiqiies (section B3.2.3.41 hold promise for genuine many-particle calculations, yet they are still far from able to offer the same quantities for the same range of materials and geometries as the theories mentioned before. With this wide range of methods now introduced, we will look at their application to chemisorption on solid surfaces. [Pg.2221]

The computational efficiency is a major advantage of CSP and CI-CSP, and we expect that in the forthcoming few years CSP-based methods will be extensively used as practical tools for the study of an increased range of dynamical processes in large systems. [Pg.376]

Base material Coating element Processing temperature range (°C) Method Coating characteristics... [Pg.407]

Partitioning or cell-based methods provide an absolute measure of the chemical space covered by a collection of compounds. They are based on the definition of a low-dimensional chemistry space, for example, one based on a small number of physicochemical properties such as molecular weight, calculated logP, and number of hydrogen bond donors [45]. Each property defines an axis of the chemistry-space. The range of values for each property is divided into a set of bins, and the combinatorial product of all bins then defines the set of cells or partitions that make up the space. [Pg.201]

However, analyses of the interface surrounded by some medium are not easy. When an interface of interest is exposed to a vacuum, electron-based or ion-based methods are available to determine the chemical composition and molecular structure of the top layers. The charged particles with limited penetration range result in a good vertical resolution. Buried interfaces are beyond the range of penetration. Photons, an alternative class of probe particles, have better ability for penetration. When the linear response to the incident electric field is analyzed, the vertical resolution is limited to the order of the wavelength, which is greater than the thickness of the top layers. [Pg.103]

An extremely wide variety of analytical methods are used by RM producers and developers in the certification of RMs for inorganic elemental content. These methods range from the classical, through current instrument based methods to highly specialized definitive methods. [Pg.60]

The use of computational methods for the calculation of molecular properties has been a perennial goal of chemists. In recent years, the field of computational chemistry has become a firmly established discipline. Computational chemists have made impressive contributions to almost every aspect of chemistry, ranging from structural organic and inorganic chemistry to the prediction of polymer properties and the design of medicinally important therapeutic agents. While many computer-based methods are robust and widely utilized, the continued development and refinement of software and the underlying theory remains an active area of research.1,2... [Pg.37]


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