Multiscale paradigms in integrated computational materials science and engineering : materials theory, modeling, and simulation for predictive design

• 其他作者：
  • Deymier, Pierre A., editor.
  • Runge, Keith, editor.
  • Muralidharan, Krishna, editor.
  • SpringerLink (Online service)
• 其他題名：
  • Springer series in materials science ;
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： Springer series in materials science,volume 226
• 主題： Materials science. , Computer simulation. , Engineering mathematics. , Physics. , Numerical and Computational Physics. , Optical and Electronic Materials. , Solid State Physics. , Appl.Mathematics/Computational Methods of Engineering. , Nanotechnology.
• ISBN： 9783319245294 (electronic bk.) 、 9783319245270 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: 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.
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• 摘要註: 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.
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