Data for "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan

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Publication date
2022-09-15
Creators
Causer, Luke
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Description
Contains the data used in the figures in the paper "Optimal sampling of dynamical large deviations in two dimensions via tensor networks" by L. Causer, M.C. Banuls and J.P. Garrahan. Also contains movies which show trajectories from the monte carlo algorithm created in these works.
External URI
DOI
Subjects
  • Large deviations
  • Sampling (Statistics)
  • large deviations, optimal sampling, two dimensions
  • Mathematical Sciences::Statistics::Stochastic processes
  • Q Science::QA Mathematics::QA273 Probabilities
Divisions
  • University of Nottingham, UK Campus::Faculty of Science::School of Physics and Astronomy
Research institutes and centres
  • University of Nottingham, UK Campus
Deposit date
2022-09-15
Data type
CSV, GIF
Contributors
  • Garrahan, Juan P.
Funders
  • Engineering & Physical Sciences Research Council
Data collection method
Numerical simulation
Resource languages
  • en
Publisher
The University of Nottingham
CC-BY
Except where otherwise noted, this item's license is described as Creative Commons by Attribution