ECMC 2021 Isobe
From Werner KRAUTH
| Revision as of 10:25, 10 May 2021 Werner (Talk | contribs) ← Previous diff |
Revision as of 11:54, 10 May 2021 Werner (Talk | contribs) Next diff → |
||
| Line 17: | Line 17: | ||
| works of efficiency of Event-Chain MC by comparing with Event-Driven MD | works of efficiency of Event-Chain MC by comparing with Event-Driven MD | ||
| and other methods. A summary will be presented at the workshop. | and other methods. A summary will be presented at the workshop. | ||
| + | |||
| + | |||
| + | |||
| + | '''Slides''' | ||
| + | |||
| + | '''Recording''' | ||
| + | |||
| + | '''Further material''' | ||
| + | |||
| + | [[Workshop_ECMC_11_May_2021|back to 2021 ECMC workshop]] | ||
Revision as of 11:54, 10 May 2021
Equilibration in Event-Chain MC, Event-Driven MD, and other methods
Masaharu Isobe
Nagoya Institute of Technology
Recent progress on the methodologies on Event-Chain Monte Carlo (ECMC) and its variants invoke fascinating research topics; that is, which algorithm does the fast to equilibrate the systems efficiently. Every method discussed here generates the same equilibrium states from arbitrary initial states in the long-time limit in principle. However, equilibration in CPU time strongly depends on the situations and methods, where its microscopic mechanisms, especially in two or higher dimensions, are still elusive. We are investigating them systematically in the various settings with the simple well-known hard disk/sphere systems. We plan to address the past and ongoing works of efficiency of Event-Chain MC by comparing with Event-Driven MD and other methods. A summary will be presented at the workshop.
Slides
Recording
Further material
