Description

Book Synopsis
Nanotechnology is a progressive research and development topic with large amounts of venture capital and government funding being invested worldwide. Nano mechanics, in particular, is the study and characterization of the mechanical behaviour of individual atoms, systems and structures in response to various types of forces and loading conditions.

Trade Review
"…nicely balanced in its exposition…extremely valuable…" (Nano Today, November 2006)

Table of Contents
Preface.

1. Introduction.

1.1 Potential of Nanoscale Engineering.

1.2 Motivation for Multiple Scale Modeling.

1.3 Educational Approach.

2. Classical Molecular Dynamics.

2.1 Mechanics of a System of Particles.

2.2 Molecular Forces.

2.3 Molecular Dynamics Applications.

3. Lattice Mechanics.

3.1 Elements of Lattice Symmetries.

3.2 Equation of Motion of a Regular Lattice.

3.3 Transforms.

3.4 Standing Waves in Lattices.

3.5 Green’s Function Methods.

3.6 Quasistatic Approximation.

4. Methods of Thermodynamics and Statistical Mechanics.

4.1 Basic Results of the Thermodynamic Method.

4.2 Statistics of Multiparticle Systems in Thermodynamic Equilibrium.

4.3 Numerical Heat Bath Techniques.

5. Introduction to Multiple Scale Modeling.

5.1 MAAD.

5.2 Coarse Grained Molecular Dynamics.

5.3 Quasicontinuum Method.

5.4 CADD.

5.5 Bridging Domain.

6. Introduction to Bridging Scale.

6.1 Bridging Scale Fundamentals.

6.2 Removing Fine Scale Degrees of Freedom in Coarse Scale Region.

3D Generalization.

6.3 Discussion on the Damping Kernel Technique.

6.4 Cauchy-Born Rule.

6.5 Virtual Atom Cluster Method.

6.6 Staggered Time Integration Algorithm.

6.7 Summary of Bridging Scale Equations.

6.8 Discussion on the Bridging Scale Method.

7. Bridging Scale Numerical Examples.

7.1 Comments On Time History Kernel.

7.4 Two-Dimensional Wave Propagation.

7.5 Dynamic Crack Propagation in Two Dimensions.

7.6 Dynamic Crack Propagation in Three Dimensions.

7.7 Virtual Atom Cluster Numerical Examples.

8. Non-Nearest Neighbor MD Boundary Condition.

8.1 Introduction.

8.2 Theoretical Formulation in 3D.

8.3 Numerical Examples - 1D Wave Propagation.

8.4 Time History Kernels for FCC Gold.

8.5 Conclusion on the Bridging Scale Method.

9. Multiscale Methods for Material Design.

9.1 Multiresolution Continuum Analysis.

9.2 Multiscale Constitutive Modeling of Steels.

9.3 Bio-Inspired Materials.

9.4 Summary and Future Research Directions.

10. Bio-Nano Interface.

10.3 Vascular Flow and Blood Rheology.

10.4 Electrohydrodynamic Coupling.

10.5 CNT/DNA Assembly Simulation.

10.6 Cell Migration and Cell-Substrate Adhesion.

10.7 Conclusions.

Appendix A: Kernel Matrices for EAM Potential.

Bibliography.

Index.

Nano Mechanics and Materials Theory Multiscale

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    A Hardback by Wing Kam Liu, Eduard G. Karpov, Harold S. Park

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      View other formats and editions of Nano Mechanics and Materials Theory Multiscale by Wing Kam Liu

      Publisher: John Wiley & Sons Inc
      Publication Date: Publication Date: 23/12/2005
      ISBN13: 9780470018514, 978-0470018514
      ISBN10: 0470018518

      Description

      Book Synopsis
      Nanotechnology is a progressive research and development topic with large amounts of venture capital and government funding being invested worldwide. Nano mechanics, in particular, is the study and characterization of the mechanical behaviour of individual atoms, systems and structures in response to various types of forces and loading conditions.

      Trade Review
      "…nicely balanced in its exposition…extremely valuable…" (Nano Today, November 2006)

      Table of Contents
      Preface.

      1. Introduction.

      1.1 Potential of Nanoscale Engineering.

      1.2 Motivation for Multiple Scale Modeling.

      1.3 Educational Approach.

      2. Classical Molecular Dynamics.

      2.1 Mechanics of a System of Particles.

      2.2 Molecular Forces.

      2.3 Molecular Dynamics Applications.

      3. Lattice Mechanics.

      3.1 Elements of Lattice Symmetries.

      3.2 Equation of Motion of a Regular Lattice.

      3.3 Transforms.

      3.4 Standing Waves in Lattices.

      3.5 Green’s Function Methods.

      3.6 Quasistatic Approximation.

      4. Methods of Thermodynamics and Statistical Mechanics.

      4.1 Basic Results of the Thermodynamic Method.

      4.2 Statistics of Multiparticle Systems in Thermodynamic Equilibrium.

      4.3 Numerical Heat Bath Techniques.

      5. Introduction to Multiple Scale Modeling.

      5.1 MAAD.

      5.2 Coarse Grained Molecular Dynamics.

      5.3 Quasicontinuum Method.

      5.4 CADD.

      5.5 Bridging Domain.

      6. Introduction to Bridging Scale.

      6.1 Bridging Scale Fundamentals.

      6.2 Removing Fine Scale Degrees of Freedom in Coarse Scale Region.

      3D Generalization.

      6.3 Discussion on the Damping Kernel Technique.

      6.4 Cauchy-Born Rule.

      6.5 Virtual Atom Cluster Method.

      6.6 Staggered Time Integration Algorithm.

      6.7 Summary of Bridging Scale Equations.

      6.8 Discussion on the Bridging Scale Method.

      7. Bridging Scale Numerical Examples.

      7.1 Comments On Time History Kernel.

      7.4 Two-Dimensional Wave Propagation.

      7.5 Dynamic Crack Propagation in Two Dimensions.

      7.6 Dynamic Crack Propagation in Three Dimensions.

      7.7 Virtual Atom Cluster Numerical Examples.

      8. Non-Nearest Neighbor MD Boundary Condition.

      8.1 Introduction.

      8.2 Theoretical Formulation in 3D.

      8.3 Numerical Examples - 1D Wave Propagation.

      8.4 Time History Kernels for FCC Gold.

      8.5 Conclusion on the Bridging Scale Method.

      9. Multiscale Methods for Material Design.

      9.1 Multiresolution Continuum Analysis.

      9.2 Multiscale Constitutive Modeling of Steels.

      9.3 Bio-Inspired Materials.

      9.4 Summary and Future Research Directions.

      10. Bio-Nano Interface.

      10.3 Vascular Flow and Blood Rheology.

      10.4 Electrohydrodynamic Coupling.

      10.5 CNT/DNA Assembly Simulation.

      10.6 Cell Migration and Cell-Substrate Adhesion.

      10.7 Conclusions.

      Appendix A: Kernel Matrices for EAM Potential.

      Bibliography.

      Index.

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