English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Zendy Open

Presents the pdf analysis as premium feature

PDF Analysis

Insights

Presents the summarisation as premium feature

Summarisation

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the zaia usage as premium feature

ZAIA

Zendy Tools

Zendy Plus

Presents the access of premium content as premium feature

Premium Content

From the underlying Master equations we derive one-dimensional stochasticprocesses that describe generalized ensemble simulations as well as tempering(simulated and parallel) simulations. The representations obtained are eitherin the form of a one-dimensional Fokker-Planck equation or a hopping process ona one-dimensional chain. In particular, we discuss the conditions under whichthese representations are valid approximate Markovian descriptions of therandom walk in order parameter or control parameter space. They allow a unifieddiscussion of the stationary distribution on, as well as of the stationary flowacross each space. We demonstrate that optimizing the flow is equivalent tominimizing the first passage time for crossing the space, and discuss theconsequences of our results for optimizing simulations. Finally, we point outthe limitations of these representations under conditions of broken ergodicity.Comment: 11 pages Latex, 2 eps figures, revised version, typos corrected, PRE  in pres

Generalized ensemble and tempering simulations: A unified view