Understanding Molecular Simulation
Understanding Molecular Simulation
From Algorithms to Applications
Frenkel, Daan; Smit, Berend
Elsevier Science & Technology
07/2023
679
Mole
Inglês
9780323902922
15 a 20 dias
Descrição não disponível.
1. Introduction
Part I: Basics
2. Thermodynamics and Statistical Mechanics
3. Monte Carlo Simulations?
4. Molecular Dynamics Simulations?
5. Computer Experiments
Part II: Ensembles
6. Monte Carlo Simulations in Various Ensembles?
7. Molecular Dynamics in Various Ensembles?
Part III: Free -Energy Calculations
8. Free Energy Calculations
9. Free Energies of Solids?
10. Free Energy of Chain Molecules?
Part IV: Advanced Techniques
11. Long-Ranged Interactions
12. Configurational Bias Monte Carlo
13. Accelerating Monte Carlo Sampling?
14. Time-Scale-separation Problems in MD
15. Rare Events
16. Mesoscopic Fluid Models
Part V: Appendices
A: Lagrangian and Hamiltonian
B: Non-Hamiltonian Dynamics
C: Non-equilibrium Thermodynamics
D: Smoothed Dissipative Particle Dynamics
E: Committor for 1-D diffusive barrier crossing
F: Linear Response Theory: examples
G: Statistical Errors
H: Integration Schemes
I: Saving CPU Time
J: Reference States
K: Statistical Mechanics of the Gibbs "Ensemble"
L: Overlapping Distribution for Polymers
M: Some General Purpose Algorithms
Part I: Basics
2. Thermodynamics and Statistical Mechanics
3. Monte Carlo Simulations?
4. Molecular Dynamics Simulations?
5. Computer Experiments
Part II: Ensembles
6. Monte Carlo Simulations in Various Ensembles?
7. Molecular Dynamics in Various Ensembles?
Part III: Free -Energy Calculations
8. Free Energy Calculations
9. Free Energies of Solids?
10. Free Energy of Chain Molecules?
Part IV: Advanced Techniques
11. Long-Ranged Interactions
12. Configurational Bias Monte Carlo
13. Accelerating Monte Carlo Sampling?
14. Time-Scale-separation Problems in MD
15. Rare Events
16. Mesoscopic Fluid Models
Part V: Appendices
A: Lagrangian and Hamiltonian
B: Non-Hamiltonian Dynamics
C: Non-equilibrium Thermodynamics
D: Smoothed Dissipative Particle Dynamics
E: Committor for 1-D diffusive barrier crossing
F: Linear Response Theory: examples
G: Statistical Errors
H: Integration Schemes
I: Saving CPU Time
J: Reference States
K: Statistical Mechanics of the Gibbs "Ensemble"
L: Overlapping Distribution for Polymers
M: Some General Purpose Algorithms
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computational modelling; Computational chemistry; Monte Carlo simulations; Statistical mechanics; Hamiltonian; Lagranigan; Particle dynamics; Molecular dynamics; Gibbs Ensemble; Energy modelling; Materials chemistry
1. Introduction
Part I: Basics
2. Thermodynamics and Statistical Mechanics
3. Monte Carlo Simulations?
4. Molecular Dynamics Simulations?
5. Computer Experiments
Part II: Ensembles
6. Monte Carlo Simulations in Various Ensembles?
7. Molecular Dynamics in Various Ensembles?
Part III: Free -Energy Calculations
8. Free Energy Calculations
9. Free Energies of Solids?
10. Free Energy of Chain Molecules?
Part IV: Advanced Techniques
11. Long-Ranged Interactions
12. Configurational Bias Monte Carlo
13. Accelerating Monte Carlo Sampling?
14. Time-Scale-separation Problems in MD
15. Rare Events
16. Mesoscopic Fluid Models
Part V: Appendices
A: Lagrangian and Hamiltonian
B: Non-Hamiltonian Dynamics
C: Non-equilibrium Thermodynamics
D: Smoothed Dissipative Particle Dynamics
E: Committor for 1-D diffusive barrier crossing
F: Linear Response Theory: examples
G: Statistical Errors
H: Integration Schemes
I: Saving CPU Time
J: Reference States
K: Statistical Mechanics of the Gibbs "Ensemble"
L: Overlapping Distribution for Polymers
M: Some General Purpose Algorithms
Part I: Basics
2. Thermodynamics and Statistical Mechanics
3. Monte Carlo Simulations?
4. Molecular Dynamics Simulations?
5. Computer Experiments
Part II: Ensembles
6. Monte Carlo Simulations in Various Ensembles?
7. Molecular Dynamics in Various Ensembles?
Part III: Free -Energy Calculations
8. Free Energy Calculations
9. Free Energies of Solids?
10. Free Energy of Chain Molecules?
Part IV: Advanced Techniques
11. Long-Ranged Interactions
12. Configurational Bias Monte Carlo
13. Accelerating Monte Carlo Sampling?
14. Time-Scale-separation Problems in MD
15. Rare Events
16. Mesoscopic Fluid Models
Part V: Appendices
A: Lagrangian and Hamiltonian
B: Non-Hamiltonian Dynamics
C: Non-equilibrium Thermodynamics
D: Smoothed Dissipative Particle Dynamics
E: Committor for 1-D diffusive barrier crossing
F: Linear Response Theory: examples
G: Statistical Errors
H: Integration Schemes
I: Saving CPU Time
J: Reference States
K: Statistical Mechanics of the Gibbs "Ensemble"
L: Overlapping Distribution for Polymers
M: Some General Purpose Algorithms
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.