New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence.
Research output: Contribution to report/book/conference proceedings › In-proceedings paper › peer-review
Institutes & Expert groups
Documents & links
Abstract
In this short proceedings paper, we very briefly described the methodology of our new Artificial Intelligence (AI) based approach to study the kinetics of migration of point-defects in Fe based bcc alloys. Examples of successful AI regression of the Vacancy Migration Energy are shown, thus highlighting the interest of the method. Finally, our first results in the modeling of self-interstitials migration are presented.
Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the Fourth International Conference on Multiscale Materials Modeling |
| Place of Publication | Tallahassee, FL, United States |
| Publication status | Published - Oct 2008 |
| Event | Fourth International Conference on Multiscale Materials Modeling - The Department of Scientific Computing, Florida State University, Tallahassee, Florida, United States Duration: 27 Oct 2008 → 31 Oct 2008 |
Conference
| Conference | Fourth International Conference on Multiscale Materials Modeling |
|---|---|
| Country/Territory | United States |
| City | Tallahassee, Florida |
| Period | 2008-10-27 → 2008-10-31 |
Keywords
- Artificial Intelligence, Atomistic Kinetic Monte Carlo, Vacancy Migration Energy
ID: 367832