Theoretical and computational chemistry
Molecular dynamics (MD)
How numerical integration of Newton’s equations turns an interaction model into molecular trajectories and ensemble averages.
IntuitionFollowing atoms through time
Molecular dynamics treats atoms as moving particles. A force field supplies their interactions; Newton’s laws advance their positions and velocities in small time steps, producing a trajectory rather than a static structure.
SchoolForces, energy, and temperature
Definition: Potential-energy model
A force field is a function U(r₁,…,rN) assigning potential energy to an atomic configuration. The force on atom i is the negative gradient, Fᵢ = −∇ᵢU.
Example: Thermal speed scale
For one Cartesian velocity component in a classical system at temperature T, equipartition gives ½m⟨vₓ²⟩=½kBT. What does increasing T do to the root-mean-square velocity scale?
Solution
The component RMS speed is √(kBT/m); it grows as √T, not linearly with T.
UndergraduateIntegration and statistical mechanics
Velocity-Verlet is widely used because it is time-reversible and symplectic for conservative dynamics. A typical step updates position using current velocity and acceleration, evaluates new forces, then updates velocity using the average acceleration.
| Ensemble | Controlled quantities | Typical use |
|---|---|---|
| NVE | N, volume, energy | Isolated-system dynamics |
| NVT | N, volume, temperature | Thermal equilibrium properties |
| NPT | N, pressure, temperature | Density at target pressure |
Definition: Sampling and ergodicity
Ensemble averages are estimated from trajectory samples only when the sampled dynamics explores the relevant phase space adequately. Correlated frames do not count as independent observations; uncertainty requires block analysis or independent replicas.
AdvancedModel limits and advanced practice
Classical force fields usually omit explicit electronic rearrangement, so they cannot directly describe bond breaking, charge transfer, or electronic excitation. Reactive force fields and machine-learned potentials broaden the model, but require validation against suitable quantum data and careful extrapolation checks.
ResearchFrontier: longer and more faithful trajectories
References
- Understanding Molecular Simulation: From Algorithms to Applications · D. Frenkel, B. Smit, 2002
- Computer Simulation of Liquids · M. P. Allen, D. J. Tildesley, 2017
- Molecular dynamics with coupling to an external bath · H. J. C. Berendsen, J. P. M. Postma, W. F. van Gunsteren, A. DiNola, J. R. Haak, 1984