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Everything about Metadynamics

Scientific computer simulation method

Metadynamics is a computer simulation method in computational physics, chemistry and biology. It is used to estimate the free energy and other state functions of a system, where ergodicity is hindered by the form of the system's energy landscape. It was first suggested by Alessandro Laio and Michele Parrinello in 2002 and is usually applied within molecular dynamics simulations. MTD closely resembles a number of newer methods such as adaptively biased molecular dynamics, adaptive reaction coordinate forces and local elevation umbrella sampling. More recently, both the original and well-tempered metadynamics were derived in the context of importance sampling and shown to be a special case of the adaptive biasing potential setting. MTD is related to the Wang–Landau sampling. Wikipedia →

đź§­ Start here: a 6-step reading path

  1. Read the overview: MetadynamicsA 5-minute orientation
  2. Skim a recent paper: Using metadynamics to build neural network potentials for reactive events: the case of urea decomposition in waterInfluential work since 2022
  3. Pick up a classic book: Modern methods of crystal structure predictionThe most-reprinted book on the subject
  4. Read the landmark paper: Well-Tempered Metadynamics: A Smoothly Converging and Tunable Free-Energy MethodCited 3,154 times
  5. Go sideways: CP2KA closely related topic
  6. Go sideways: Local elevationA closely related topic

đź“– Definitions

Noun An algorithmic method of simulating rare complex systems and for calculating the free energy associated with them

🗂️ The subject at a glance

  1. Introduction
  2. Algorithm
  3. Applications
  4. Implementations

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

đź”— Related topics