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Illinois MatSE485/Phys466/CSE485 - Atomic-Scale Simulation

By David M. Ceperley

University of Illinois at Urbana-Champaign

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Lecture Number/Topic Online Lecture Video Lecture Notes Supplemental Material Suggested Exercises
Illinois PHYS 466, Lecture 1: Introduction
Introduction to Simulation Content: Why do simulations? Moore's law Two Simulation Modes Dirac, 1929 Challenges of Simulation: Physical and mathematical underpinnings …
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Illinois PHYS 466, Lecture 3: Basics of Statistical Mechanics
Basics of Statistical Mechanics Review of ensembles Microcanonical, canonical, Maxwell-Boltzmann Constant pressure, temperature, volume,… Thermodynamic limit Ergodicity …
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Illinois PHYS 466, Lecture 4: Molecular Dynamics
Molecular Dynamics What to choose in an integrator The Verlet algorithm Boundary Conditions in Space and time Reading assignment: Frenkel and Smit Chapter 4 Content: …
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Illinois PHYS 466, Lecture 5: Interatomic Potentials
Interatomic Potentials Before we can start a simulation, we need the model! Interaction between atoms and molecules is determined by quantum mechanics But we don’t know …
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Illinois PHYS 466, Lecture 6: Scalar Properties and Static Correlations
Scalar Properties, Static Correlations and Order Parameters What do we get out of a simulation? Static properties: pressure, specific heat, etc. Density Pair correlations in real space and …
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Illinois PHYS 466, Lecture 7: Dynamical Correlations & Transport Coefficients
Dynamical correlations and transport coefficients Dynamics is why we do molecular dynamics! Perturbation theory Linear-response theory Diffusion constants, velocity-velocity auto correlation …
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Illinois PHYS 466, Lecture 8: Temperature and Pressure Controls
Temperature and Pressure Controls Content: Constant Temperature MD Quench method Brownian dynamics/Anderson thermostat Nose-Hoover thermostat (FS 6.1.2) Nose-Hoover thermodynamics …
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Illinois PHYS 466, Lecture 9: Probability tools & Random number generators
Random Number Generation (RNG) read “Numerical Recipes” on random numbers and chi-squared test Today we discuss how to generate and test random numbers. What is a random number? A single …
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Illinois PHYS 466, Lecture 10: Sampling
Fundamentals of Monte Carlo What is Monte Carlo? Named at Los Alamos in 1940’s after the casino. Any method which uses (pseudo)random numbers> as an essential part of the algorithm. …
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Illinois PHYS 466, Lecture 11: Importance Sampling
Importance sampling Today We will talk about the third option: Importance sampling and correlated sampling Content: Importance Sampling Finding Optimal p*(x) for Sampling Example of …
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Illinois PHYS 466, Lecture 12: Random Walks
Random Walks Today we will discuss Markov chains (random walks), detailed balance and transition rules. These methods were introduced by Metropolis et al. in 1953 who applied it to a hard …
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Illinois PHYS 466, Lecture 13: Brownian Dynamics
Brownian Dynamics Let’s explore the connection between Brownian motion and Metropolis Monte Carlo. Why? Connection with smart MC Introduce the idea of kinetic Monte Carlo Get rid of …
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Illinois PHYS 466, Lecture 14: Neighbor Tables, Long-Range Potentials, Ewald Sums View Flash
Illinois PHYS 466, Lecture 15: Constraints View Flash
Illinois PHYS 466, Lecture 16: Free Energies from Simulations View Flash
Illinois PHYS 466, Lecture 17: Simulation of Polymers View Flash
Illinois PHYS 466, Lecture 18: Kinetic Monte Carlo (KMC) View Flash
Illinois PHYS 466, Lecture 19: The Ising Model View Flash

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