Handbook of Materials Modeling
By V. Giessen, A. Needleman. 2005
391 citations recorded by the source corpus.
Handbook of Materials Modeling Volume I Methods and Models Editor Sidney Yip, Massachusetts Institute of Technology Subject Editors Martin Bazant, Massachusetts Institute of Technology Bruce Boghosian, Tufts University Richard Catlow, Royal Institution, UK Long-Qing Chen, Pennsylvania State University William Curtin, Brown University Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory Nicolas Hadjiconstantinou, Massachusetts Institute of Technology Mark F. Horstemeyer, Mississippi State University Efthimios Kaxiras, Harvard University L. Mahadevan, Harvard University Dimitrios Maroudas, University of Massachusetts Nicola Marzari, Massachusetts Institute of Technology Horia Metiu, University of California Santa Barbara Gregory C. Rutledge, Massachusetts Institute of Technology David J. Srolovitz, Princeton University Bernhardt L. Trout, Massachusetts Institute of Technology Dieter Wolf, Argonne National Laboratory Sidney Yip, Massachusetts Institute of Technology Springer Science and Business Media to be published in 2005 Handbook of Materials Modeling Volume 1 Methods and Models (Part A Methods) Preface List of Subject Editors List of Contributors Introduction Chap 1. Electronic Scale Chap 2. Atomistic Scale Chap 3. Mesoscale/Continuum Methods Chap 4. Mathematical Methods (Part B Models) Preface List of Subject Editors List of Contributors Chap 5. Rate Processes Chap 6. Crystal Defects Chap 7. Microstructure Chap 8. Fluids Chap 9. Polymers and Soft Matter Plenary Perspectives Handbook of Materials Modeling Vol. 1 Methods and Models Table of Contents Chap 1. Electronic Scale 1.1 Introduction (Nicola Marzari, Efthimios Kaxiras, Bernhardt L. Trout) 1.2 Concepts for Modeling Electrons in Solids: A Perspective (Marvin L. Cohen) 1.3 Achieving Predictive Simulations with Quantum Mechanical Forces: Problems, Prospects, and the Transfer Hamiltonian (Rodney J. Bartlett, Decarlos E. Taylor and Anatoli Korkin) 1.4 First-Principles Molecular Dynamics (Roberto Car, Filippo de Angelis, Paolo Giannozzi, Nicola Marzari) 1.5 Electronic Structure Calculations with Localized Orbitals. The Siesta Method (Emilio Artacho, Julian D. Gale, Alberto Garcia, Javier Junquera, Richard M. Martin, Pablo Ordejon, Daniel Sanchez Portal, Jose M. Soler) 1.6 Electronic Structure Methods: Augmented Waves, Pseudopotentials (Peter E. Blochl, Johannes Kastner, Clemens J. Forst) 1.7 Real-Space Methods for ab initio Calculations (James R. Chelikowsky) 1.8 An Introduction to Orbital-Free Density Functional Theory (Vincent Ligneres and Emily A. Carter) 1.9 Ab initio Thermodynamics and Statistical Mechanics of Surface Properties and Functions (Karsten Reuter, Catherine Stampfl, and Matthias Scheffler) 1.10 Density-Functional Linear Response Theory (Paolo Giannozzi, Stefano Baroni) 1.11 Quasiparticle and Optical Properties of Solids and Nanostructures: the GW/BSE approach (Steven G. Louie and Angelo Rubio) 1.12 Hybrid Quantum Mechanics/Molecular Mechanics Methods and Their Applications (Marek Sierka and Joachim Sauer) 1.13 Ab initio Molecular Dynamics
Subfields: General Materials Science, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/61b913dbb8c7581e0acd50fed85888a007b4ab15
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Citations in the corpus
- Development of an interatomic potential for the Ni-Al system (2009, background): “Atomic-level computer simulations offer a powerful tool for gaining fundamental knowledge of materials processes and properties [1,2].”
- Bayesian Model and Dimension Reduction for Uncertainty Propagation: Applications in Random Media (2017, background): “The latter is characterized by significant randomness which invariably implies gigantic numbers of random variables [36] and must be propagated across different length scales [60] in the context of simulation-based analysis and design [57, 86].”