Applied Physical Simulation
Computational models of gravitation, fluids, electromagnetism, quantum mechanics, and coupled systems.
General idea of the topic
Applied physical simulation translates Newtonian mechanics and thermodynamics into complex many-body systems: real gases, liquids, galaxy mergers, and fluid dynamics. In conservative systems, standard integrators fail due to secular energy drift; modern computational physics relies on symplectic integrators (Verlet, Velocity-Verlet, Leapfrog) that strictly preserve phase-space volume (Liouville's theorem).
This node covers intermolecular force calculations (Lennard-Jones potential), periodic boundary conditions, temperature/pressure thermostats (Berendsen, Nosé-Hoover), and Smoothed Particle Hydrodynamics (SPH).
What you will truly understand
You will learn how microscopic liquid structure is quantitatively extracted via the radial distribution function computed from simulated particle trajectories.
You will determine macroscopic thermodynamic pressure via the virial theorem and self-diffusion coefficients via mean squared displacement (MSD) and Einstein's relation.
Recommended learning route
- Symplectic integrators: Verlet and Velocity-Verlet formulations, energy drift elimination, and phase-space volume conservation.
- Interatomic potentials and truncation: 6-12 Lennard-Jones potential, cutoff radius , and long-range tail corrections.
- Thermostats and ensembles: velocity rescaling, Nosé-Hoover dynamics, and NVT/NPT ensemble sampling.
- Macroscopic property extraction: radial distribution function , virial pressure, and molecular diffusion rates.
Physical criterion you must acquire
Distinguishing between exact instantaneous energy conservation and bounded oscillations around a mean value guaranteed by symplectic geometry.
Connection with real problems
- Biophysics: membrane protein stability and ion transport in cellular channels.
- Nanotechnology: thermal transport and mechanical strength in carbon nanotubes and graphene.
- Astrodynamics: spacecraft orbital planning and N-body stellar cluster evolution.
Final goal of the topic
Construct, run, and analyze complete molecular dynamics simulations to extract macroscopic thermodynamic properties from micro-mechanical interactions.
Topics in this section
- N-Body Simulation
Numerical integration of gravitational systems with energy and time-step control.
- Intro to Computational Fluids
Discretization, stability, and convergence in introductory flow simulations.
- Computational Electromagnetism
Numerical simulation of electromagnetic fields through discretization, convergence, and error control.
- Intro to Numerical Quantum Mechanics
Basic numerical solution of quantum states, energies, and discretized wavefunctions.