Multiscale Paradigms in Integrated Computational Materials Science and Engineering Materials Theory, Modeling, and Simulation for Predictive Design /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Deymier, Pierre (Επιμελητής έκδοσης), Runge, Keith (Επιμελητής έκδοσης), Muralidharan, Krishna (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Σειρά: Springer Series in Materials Science, 226
• Θέματα: Physics.; Solid state physics.; Applied mathematics.; Engineering mathematics.; Optical materials.; Electronic materials.; Nanotechnology.; Numerical and Computational Physics, Simulation.; Optical and Electronic Materials.; Solid State Physics.; Appl.Mathematics/Computational Methods of Engineering.

 This 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. 

 Orbital-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.