Computational materials science: the simulation of materials microstructures and properties
Modeling and simulation play an ever increasing role in the development and optimization of materials.
Computational Materials Science presents the most important approaches in this new interdisciplinary field of materials science and engineering. The reader will learn to assess which numerical method is appropriate for performing simulations at the various microstructural levels and how they can be coupled.
This book addresses graduate students and professionals in materials science and engineering as well as materials-oriented physicists and mechanical engineers.
29 pages matching displacement gradient in this book
Results 1-3 of 29
What people are saying - Write a review
We haven't found any reviews in the usual places.
Material Constants A
Modeling and Simulation in Materials Science
Fundamentals and Solution of Differential Equations
15 other sections not shown
algorithm approach approximation atoms automaton Burgers vector Cahn calculated cell cellular automata Chapter chemical Chen classical coefficients components computational materials science considered constant coordinates crystal deformation derivatives described deterministic differential equations diffusion discrete dislocation dynamics dislocation line dislocation segments displacement gradient dynamics simulations elastic electron ensemble equations of motion equilibrium evolution expressed Figure finite difference finite element method force free energy function gradient tensor grain boundary grain growth homogeneous Hooke's law Houtte integral interaction interface Ising model isotropic Khachaturyan kinetic Kocks Kubin lattice defects linear matrix mechanics microscopic microstructure simulation molecular dynamics Monte Carlo method neighboring nodes nucleation orientation parameters particle phase field phase space phenomena phenomenological Phys physical plasticity polycrystal potential Potts model predictions probabilistic problem Raabe recrystallization referred Ronnpagel sampling scale shear slip systems solution solving spatial spin Srolovitz stochastic strain rate structure surface Taylor texture theory thermodynamic three-dimensional transformation rules two-dimensional typically values velocity vertex models