
Materials Theory, Simulations, and Parallel Algorithms: Volume 408
Materials Research Society (Publisher)
Published on 2. July 1996
Book
Hardback
611 pages
978-1-55899-311-2 (ISBN)
Description
Significant advances have been made towards understanding the properties of materials through theoretical approaches. These approaches are based either on first-principles quantum mechanical formulations or semi-empirical formulations, and have benefitted from increases in computational power. The advent of parallel computing has propelled the theoretical approaches to a new level of realism in modelling physical systems of interest. The theoretical methods and simulation techniques that are cur- rently under development are certain to become powerful tools in understanding, exploring and predicting the properties of existing and novel materials. This book discusses critically current developments in computations and simulational approaches specifically aimed at addressing real materials problems, with an emphasis on parallel computing and shows the most successful applications of computational and simulational work to date. Topics include: advances in computational methods; parallel algorithms and applications; fracture, brittle/ductile behavior and large-scale defects; thermodynamic stability of materials; surfaces and interfaces of materials; and complex materials simulations.
Significant advances have been made towards understanding the properties of materials through theoretical approaches. These approaches are based either on first-principles quantum mechanical formulations or semi-empirical formulations, and have benefitted from increases in computational power. The advent of parallel computing has propelled the theoretical approaches to a new level of realism in modelling physical systems of interest. The theoretical methods and simulation techniques that are cur- rently under development are certain to become powerful tools in understanding, exploring and predicting the properties of existing and novel materials. This book discusses critically current developments in computations and simulational approaches specifically aimed at addressing real materials problems, with an emphasis on parallel computing and shows the most successful applications of computational and simulational work to date. Topics include: advances in computational methods; parallel algorithms and applications; fracture, brittle/ductile behavior and large-scale defects; thermodynamic stability of materials; surfaces and interfaces of materials; and complex materials simulations.
Significant advances have been made towards understanding the properties of materials through theoretical approaches. These approaches are based either on first-principles quantum mechanical formulations or semi-empirical formulations, and have benefitted from increases in computational power. The advent of parallel computing has propelled the theoretical approaches to a new level of realism in modelling physical systems of interest. The theoretical methods and simulation techniques that are cur- rently under development are certain to become powerful tools in understanding, exploring and predicting the properties of existing and novel materials. This book discusses critically current developments in computations and simulational approaches specifically aimed at addressing real materials problems, with an emphasis on parallel computing and shows the most successful applications of computational and simulational work to date. Topics include: advances in computational methods; parallel algorithms and applications; fracture, brittle/ductile behavior and large-scale defects; thermodynamic stability of materials; surfaces and interfaces of materials; and complex materials simulations.
More details
Series
Language
English
Place of publication
Warrendale, Pittsburgh
United States
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
Weight
1000 gr
ISBN-13
978-1-55899-311-2 (9781558993112)
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Schweitzer Classification
Persons
Editor
Massachusetts Institute of Technology
Louisiana State University
Harvard University, Massachusetts
Louisiana State University