Skip to main content
Ctrl+K

Atomistic Scale Simulations

  • 1. Introduction
    • 1.1. Why are we interested in the atomistic scale?
    • 1.2. What are Simulations?
  • 2. Molecular Models and Interactions
    • 2.1. Introduction
    • 2.2. Molecular Models
    • 2.3. Periodic Boundary Conditions
    • 2.4. Intermolecular Potentials
    • 2.5. Short-Ranged Intramolecular Potentials
    • 2.6. Long-Range Potentials
  • 3. Statistical Mechanics and Thermodynamics
    • 3.1. Introduction
    • 3.2. Thermodyanmics and Ensembles
    • 3.3. Statistical Mechanics: Ensembles, Ergodicity, and Other Stuff
    • 3.4. Thermodyanmics Properties
    • 3.5. Entropy and Temperature
    • 3.6. Structural Correlations
    • 3.7. Transport Coefficients
    • 3.8. Statistical Errors
  • 4. Molecular Dynamics
    • 4.1. Introduction
    • 4.2. Verlet Integration
    • 4.3. Thermostats
    • 4.4. Langevin Dynamics
    • 4.5. Using MD Packages
    • 4.6. Initialization and Neighbor Searching
    • 4.7. HPC (High-Performance Computing)
  • 5. Monte Carlo Simulations
    • 5.1. Introduction
    • 5.2. Random Numbers
    • 5.3. Monte Carlo Methods
    • 5.4. Sampling Methods
    • 5.5. Gibbs Ensemble and Phase Coexistence
    • 5.6. Phase Transitions, Finite-Size Scaling and Renormalization Group
    • 5.7. Variance Reduction Techniques
    • 5.8. Metropolis Method
    • 5.9. The Ising Model
    • 5.10. Directed Monte Carlo
    • 5.11. Kinetic Monte Carlo
    • 5.12. Free Energy Estimation in Simulations
  • 6. References
  • 7. Credits
  • Repository
  • Open issue

Index

By Antonia Statt

© Copyright 2025-2026.