MARC Record from Library of Congress

LEADER: 02680cam a2200289 a 4500
001 2011032715
003 DLC
005 20130109084630.0
008 110909s2011 flua b 001 0 eng
010 $a 2011032715
020 $a9781439836163 (hardback)
040 $aDLC$cDLC$dDLC
042 $apcc
050 00 $aTA404.23$b.L44 2011
082 00 $a620.1/10113$223
084 $aMAT003000$aSCI013050$aTEC021000$2bisacsh
100 1 $aLee, June Gunn.
245 10 $aComputational materials science :$ban introduction /$cJune Gunn Lee.
260 $aBoca Raton, FL :$bTaylor & Francis,$c2011.
300 $axxi, 280 p. :$bill. ;$c25 cm.
520 $a"Preface No longer underestimated, computational science has emerged as a powerful partner to experimental and theoretical studies. Accelerated by the ever-growing power of computers and new computational methods, it is one of the fastest growing fields in science these days. Its predictive power in atomic and subatomic scales benefits all disciplines of science, and materials science is definitely one of them. Note that, for example, materials under extreme conditions such as high temperature or pressure, high radiation, on a very small scale, can be rather easily examined via the keyboard in computational materials science. Computational science has been a familiar subject in physics and chemistry, but in the materials field it was considered of secondary importance. It is now in the mainstream, and we have to catch up with the knowledge accumulated in the subject, which strongly involves physics and mathematics. Here, we are forced to deal with an obvious question: how much catch-up will be enough to cover the major topics and to perform computational works as materials researchers? Dealing with the entire field might be most desirable, but many certainly prefer to cover only the essential and necessary parts and would rather be involved in actual computational works. That is what this book is all about. As listed in the Further Readings sections in several chapters, a number of excellent and successful books are already available in this field. However, they are largely physics- or chemistry-oriented, full of theories, algorisms, and equations. It is quite difficult, if not impossible, for materials students to follow all those topics in detail"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
650 0 $aMaterials$xMathematical models.
650 0 $aMaterials$xData processing.
650 7 $aMATHEMATICS / Applied$2bisacsh.
650 7 $aSCIENCE / Chemistry / Physical & Theoretical$2bisacsh.
650 7 $aTECHNOLOGY & ENGINEERING / Material Science$2bisacsh.