| Display title | eOn |
| Default sort key | EOn |
| Page length (in bytes) | 15,328 |
| Namespace ID | 0 |
| Page ID | 325 |
| Page content language | en - English |
| Page content model | wikitext |
| Indexing by robots | Allowed |
| Number of redirects to this page | 0 |
| Counted as a content page | Yes |
| Edit | Allow all users (infinite) |
| Move | Allow all users (infinite) |
| Page creator | Al Piskun (talk | contribs) |
| Date of page creation | 10:17, 25 July 2026 |
| Latest editor | Al Piskun (talk | contribs) |
| Date of latest edit | 10:22, 25 July 2026 |
| Total number of edits | 2 |
| Total number of distinct authors | 1 |
| Recent number of edits (within past 90 days) | 2 |
| Recent number of distinct authors | 1 |
Description | Content |
Page title: (title)
This attribute controls the content of the <title> element. | eOn |
Article description: (description)
This attribute controls the content of the description and og:description elements. | eOn (also known as eOn2 on BOINC) was a completed volunteer computing project run by the Henkelman Research Group at the University of Texas at Austin. It used adaptive kinetic Monte Carlo and dimer method saddle point searches to simulate the long timescale evolution of atomic scale systems in chemistry and materials science. |