Lectures related to Monte Carlo Methods: Multi-Particle Diffusion

Optimization and Simulation: Introduction to Simulation

Introduces state-of-the-art methods in optimization and simulation, covering topics like statistical analysis, variance reduction, and simulation projects.

Maximum Entropy Principle: Stochastic Differential Equations

Explores the application of randomness in physical models, focusing on Brownian motion and diffusion.

Hybrid QM/MM Approaches

Covers Hybrid QM/MM Approaches, explaining system partitioning, MM potential forms, and practical QM/MM implementation.

Efficient Stochastic Numerical Methods

Explores efficient stochastic numerical methods for modeling and learning, covering topics like the Analytical Engine and kinase inhibitors.

Simulation in Biophysics

Explores simulation in biophysics, covering types, applications, considerations, and precision in soft matter problems.

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Modeling Prisoner's Dilemma: Naive vs. Optimal

Explores the modeling of the '100 prisoners' problem and compares naive and optimal approaches.

Diffusion and Convection Transport

Explores the microscopic description of diffusion and convection transport, emphasizing similarities between chemical diffusion and heat conduction.

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