Engineering materials with desirable physical and technological properties requires understanding and predictive capability of materials behavior under varying external conditions, such as temperature and pressure. This immediately brings one face to face with the fundamental difficulty of establishing a connection between materials behavior at a microscopic level, where understanding is to be sought, and macroscopic behavior which needs to be predicted. Bridging the corresponding gap in length scales that separates the ends of this spectrum has been a goal intensely pursued by theoretical physicists, experimentalists, and metallurgists alike. Traditionally, the search for methods to bridge the length scale gap and to gain the needed predictive capability of materials properties has been conducted largely on a trial and error basis, guided by the skill of the metallurgist, large volumes of experimental data, and often ad hoc semi phenomenological models. This situation has persisted almost to this day, and it is only recently that significant changes have begun to take place. These changes have been brought about by a number of developments, some of long standing, others of more recent vintage.
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Engineering materials with desirable physical and technological properties requires understanding and predictive capability of materials behavior under varying external conditions, such as temperature and pressure. This immediately brings one face to face with the fundamental difficulty of establishing a connection between materials behavior at a microscopic level, where understanding is to be sought, and macroscopic behavior which needs to be predicted. Bridging the corresponding gap in length scales that separates the ends of this spectrum has been a goal intensely pursued by theoretical physicists, experimentalists, and metallurgists alike. Traditionally, the search for methods to bridge the length scale gap and to gain the needed predictive capability of materials properties has been conducted largely on a trial and error basis, guided by the skill of the metallurgist, large volumes of experimental data, and often ad hoc semi phenomenological models. This situation has persisted almost to this day, and it is only recently that significant changes have begun to take place. These changes have been brought about by a number of developments, some of long standing, others of more recent vintage.
The June-July 1994 NATO ASI reflected the most recent developments in the field of stability of materials, namely the development and refinement of computational methods for the study of electronic structure; experimental techniques that allow increasingly deeper probes into the microstructure of ma
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Librería: Library House Internet Sales, Grand Rapids, OH, Estados Unidos de America
Hardcover. Condición: Good. Estado de la sobrecubierta: Good. This second edition takes a detailed look at how the best companies use nine different options, including flexitime, flexiplace, compressed work week, job sharing, and phased or partial retirement. The Winner of the 1990 Society of Human Resource Management's Best Book of the Year Award in its first edition, this volume includes dozens of worksheets, cost analyses, sample policies, and updated statistics, resources, and case studies. Former library book. Binding is moderately loose. Please note the image in this listing is a stock photo and may not match the covers of the actual item. Ex-Library. Nº de ref. del artículo: 123520822
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
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