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PHYS-403: Computer simulation of physical systems I
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Lectures in this course (55)
Computer Simulation of Physical Systems
Introduces a course on computer simulation of physical systems, emphasizing online resources and project-based examination.
Computer Simulation of Physical Systems
Covers the program, organization, and exam options of a course on computer simulation of physical systems.
Computer Simulation of Physical Systems
Explores computer simulation of physical systems, covering topics like differential equations, molecular dynamics, and Monte Carlo integration.
Ordinary Differential Equations: Methods and Applications
Explores ordinary differential equations and numerical integration methods for stability and accuracy.
Ordinary Differential Equations: Methods and Accuracy
Introduces methods for solving ordinary differential equations and discusses their accuracy and limitations.
Predictor-Corrector Method: Harmonic Oscillator
Explores the Predictor-Corrector method for the harmonic oscillator and Runga-Kutta method in differential equations.
Classical Molecular Dynamics: Simulation and Integration Algorithms
Explores classical molecular dynamics simulations, integration algorithms, and trajectory accuracy.
Ordinary Differential Equations: Methods and Stability
Explores predictor-corrector and Runge-Kutta methods for solving ODEs, highlighting stability considerations in numerical solutions.
Integration Algorithms for Molecular Dynamics
Explores various Verlet algorithms for molecular dynamics simulations, emphasizing accuracy and efficiency.
Classical Molecular Dynamics: Simulation Setup
Explores classical molecular dynamics and simulation setup with variables and interactions.
Verlet and Gear Algorithms
Discusses the Verlet and Gear algorithms for harmonic oscillators, emphasizing stability and performance evaluation.
Integration Algorithms for Molecular Dynamics: Verlet Algorithm
Explores integration algorithms for Molecular Dynamics, emphasizing the Verlet algorithm and its variants.
Accuracy and Stability: Algorithms Performance
Discusses accuracy and stability in computational algorithms, focusing on the Verlet and Gear algorithms and comparing their performance.
Molecular Dynamics: Liquid Argon Simulation
Covers the molecular dynamics simulation of liquid argon using Lennard-Jones potential and focuses on equilibration and velocity distribution at equilibrium.
Molecular Dynamics: Lennard-Jones Liquid
Explores the molecular dynamics simulation of a Lennard-Jones liquid and its equilibrium velocity distribution.
Diffusion Coefficient and Pair Correlation Function
Explains diffusion coefficient, pair correlation function, and their properties.
Diffusion Coefficient: Einstein's Relation
Explores the diffusion coefficient and its relation to mean square displacement.
Pair Correlation Function: Definition and Calculation
Explores the pair correlation function, its calculation method, and relation with the structure factor.
Velocity Autocorrelation & Diffusion Coefficient
Explains the velocity-velocity autocorrelation function and the Green-Kubo formula for diffusion coefficient.
Diffusion and Dynamics
Explores diffusion coefficient, Einstein's relation, and velocity-velocity autocorrelation in dynamic systems.
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