eOn[1] was a volunteer computing project running on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, which uses theoretical chemistry techniques to solve problems in condensed matter physics and materials science. It was a project of the Institute for Computational Engineering and Sciences at the University of Texas.
 | |
| Operating system | cross-platform |
|---|---|
| Platform | BOINC |
| Website | eon |
Traditional molecular dynamics can accurately model events that occur within a fraction of a millisecond. In order to model events that take place on much longer timescales, Eon combines transition state theory with kinetic Monte Carlo. The result is a combination of classical mechanics and quantum methods like density functional theory.
Since the generation of new work units depended on the results of previous units, the project could only give each host a few units at a time.
On May 26, 2014, it was announced that eOn would be retiring from BOINC.[2]
See also
editReferences
edit- ^ Chill, Samuel T; Welborn, Matthew; Terrell, Rye; Zhang, Liang; Berthet, Jean-Claude; Pedersen, Andreas; Jónsson, Hannes; Henkelman, Graeme (2014-07-01). "EON: software for long time simulations of atomic scale systems". Modelling and Simulation in Materials Science and Engineering. 22 (5): 055002. Bibcode:2014MSMSE..22e5002C. CiteSeerX 10.1.1.703.6143. doi:10.1088/0965-0393/22/5/055002. ISSN 0965-0393. S2CID 13990151.
- ^ "Announcement that the eOn project has been discontinued". BOINC Forums. Archived from the original on 2014-07-14. Retrieved 2014-06-07.
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