LEADER 04460nam 22008295 450 001 9910254605603321 005 20200703231011.0 010 $a3-319-24529-5 024 7 $a10.1007/978-3-319-24529-4 035 $a(CKB)3710000000521743 035 $a(EBL)4178567 035 $a(SSID)ssj0001585350 035 $a(PQKBManifestationID)16264955 035 $a(PQKBTitleCode)TC0001585350 035 $a(PQKBWorkID)14866049 035 $a(PQKB)10761529 035 $a(DE-He213)978-3-319-24529-4 035 $a(MiAaPQ)EBC4178567 035 $a(PPN)19053141X 035 $a(EXLCZ)993710000000521743 100 $a20151125d2016 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMultiscale Paradigms in Integrated Computational Materials Science and Engineering $eMaterials Theory, Modeling, and Simulation for Predictive Design /$fedited by Pierre Deymier, Keith Runge, Krishna Muralidharan 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (305 p.) 225 1 $aSpringer Series in Materials Science,$x0933-033X ;$v226 300 $aDescription based upon print version of record. 311 $a3-319-24527-9 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aOrbital-free Density Functional Theory (OFDFT) -- Path Integral Molecular Dynamics (PIMD) -- Interatomic Potentials Including Chemistry -- Consistent Embedding -- Nano- and Meso-Scale Materials Phenomena -- Phase Field Methods -- Multiscale Spatial and Temporal Data Fusion and Fission in Materials -- Multiscaling and Materials Imaging -- Peridynamics -- Conclusions and Industrial Perspectives. 330 $aThis book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems. 410 0$aSpringer Series in Materials Science,$x0933-033X ;$v226 606 $aPhysics 606 $aOptical materials 606 $aElectronic materials 606 $aSolid state physics 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aNanotechnology 606 $aNumerical and Computational Physics, Simulation$3https://scigraph.springernature.com/ontologies/product-market-codes/P19021 606 $aOptical and Electronic Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z12000 606 $aSolid State Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P25013 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aNanotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/Z14000 615 0$aPhysics. 615 0$aOptical materials. 615 0$aElectronic materials. 615 0$aSolid state physics. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aNanotechnology. 615 14$aNumerical and Computational Physics, Simulation. 615 24$aOptical and Electronic Materials. 615 24$aSolid State Physics. 615 24$aMathematical and Computational Engineering. 615 24$aNanotechnology. 676 $a003.3 702 $aDeymier$b Pierre$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRunge$b Keith$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMuralidharan$b Krishna$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910254605603321 996 $aMultiscale Paradigms in Integrated Computational Materials Science and Engineering$92523319 997 $aUNINA