Lecture

Thermodynamics and phase space sampling

Description

This lecture covers the classical Hamiltonian, canonical ensemble, canonical averages, integration by importance sampling, and importance sampling with detailed balance. It emphasizes the computation of observables through probability distributions and the significance of efficient importance sampling in simulations.

In MOOCs (2)
Path Integral Methods in Atomistic Modelling
The course provides an introduction to the use of path integral methods in atomistic simulations. The path integral formalism allows to introduce quantum mechanical effects on the equilibrium and (ap
Path Integral Methods in Atomistic Modelling
The course provides an introduction to the use of path integral methods in atomistic simulations. The path integral formalism allows to introduce quantum mechanical effects on the equilibrium and (ap
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.
Related lectures (39)
Quantum Source Coding
Covers entropic notions in quantum sources, Shannon entropy, Von Neumann entropy, and source coding.
Molecular dynamics under constraints
Explores molecular dynamics simulations under holonomic constraints, focusing on numerical integration and algorithm formulation.
Canonical Ensemble: Partition Function and Ideal Gas
Explores the canonical ensemble, partition function, and ideal gas properties.
Statistical Thermodynamics: Boltzmann Distribution
Covers the Boltzmann distribution in statistical thermodynamics, focusing on the harmonic oscillator system and analyzing state occupancy with varying temperatures.
Plasma State: Properties and Effects
Covers the definition and properties of plasma, including ionization and collective effects.
Show more

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.