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Scientific software applications

II. Accelrys is a computational science company that develops and delivers scientific software applications and services to solve R D problems. They provide simulation and informatics software as well as a computational portfolio that combines modeling and visualization software to predict properties and interpret the behavior of molecules and materials and services. They adhere to an open, component-based software platform that can run across the network on Windows, Linux, or UNIX servers. [Pg.51]

Bessel functions are easily found in mathematical tables and are readily available is most scientific software applications. [Pg.84]

An analytical solution for the instantaneous chain length distribution for the whole polymer produced in a CSTR is also available [Eq. (32)] [15]. The function Ii is the modified Bessel function of the first kind of order 1, given by Eq. (33). Bessel functions are easily found in mathematical tables and are readily available is most scientific software applications [43, 44]. [Pg.397]

Early scientific software packages focused on compilers, individual applications, and specific aspects of computer support such as statistics. More recently, software packages provide a broad, integrated, easy to use, and extensible set of capabilities to support research data management. RS/1 (TM) is described as an example of modern scientific software. [Pg.23]

Based on their corporate experience in supporting their own research and development projects as well as a number of government-sponsored activities, the development of scientific software at BBN grew out of a long history of support of a variety of scientific applications. For example, in the 1960 s, BBN developed a hospital information system for Massachusetts General Hospital which used an early minicomputer, the PDP-1, to support clinical research activities. Under the sponsorship of the National Institutes of Health, they developed a system called PROPHET (1) which provides a... [Pg.23]

RS/1 represents a distinct contrast to earlier scientific software. In general, early software used by scientists took three primary forms. (1) Languages such as FORTRAN, BASIC, and PASCAL were helpful in supporting highly computational applications, but were not designed to support research data management. [Pg.24]

This comprehensive laboratory text includes 48 experiments with background theoretical information, complete experimental descriptions, safety recommendations, and computer applications. Updated chapters are provided regarding the collection and analysis of data and the use of spreadsheets and other scientific software. Supplementary instructor information regarding necessary supplies, equipment, and procedures is provided in an integrated manner in the text. [Pg.746]

Bergerhoff, G., and Brown, I. D. Inorganic crystal structure database. In Crys-tallographic Databases. Information Content, Software Applications, Scientific Applications. Section 2.2. pp. 77-95. International Union of Crystallography Bonn, Cambridge, Chester (1987). [Pg.683]

Inventories are basically structured knowledge repositories. They can be independent systems or alternatively can integrate data from other information systems. Information Technology (IT) tools are software applications that assist the user in specific operations. Some inventories and IT tools that can be considered as essential components of the DSS are described in generic terms below, with emphasis on their scientific features rather than to specific software applications (e.g., commercially available software). [Pg.760]

OpenEye Scientific Software http //www.eyesopen.com/products/applications/fred.html CAChe Software http //www.cachesoftware.com/biomedcache ... [Pg.118]

EE Abola, EC Bernstein, SH Bryant, TF Koetzle, J Weng. Protein data bank. In EH Allen, G Bergerhoff, R Sievers, eds. Crystallographic Databases Information, Content, Software Systems, Scientific Applications, Bonn Data Commission of the International Union of Crystallography, 1987, pp 107-132. [Pg.302]

In the new field of genetic engineering, scientific data management software is used to manage the long alphabetic codes that represent genetic sequences, as well as more traditional numeric and text applications. At Genentech, scientists use the software for these tasks as well as for laboratory data analysis. [Pg.30]

The brain s remarkable ability to learn through a process of pattern recognition suggests that, if we wish to develop a software tool to detect patterns in scientific or, indeed, any other kind of data, the structure of the brain could be a productive starting point. This view led to the development of artificial neural networks (ANNs). The several methods that are gathered under the ANN umbrella constitute some of the most widely used applications of Artificial Intelligence in science. Typical areas in which ANNs are of value include ... [Pg.10]


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