New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence.

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Standard

New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence. / Castin, Nicolas; Malerba, Lorenzo; Bonny, Giovanni (Peer reviewer); Terentyev, Dmitry (Peer reviewer).

Proceedings of the Fourth International Conference on Multiscale Materials Modeling. Tallahassee, FL, United States, 2008.

Research output: Contribution to report/book/conference proceedingsIn-proceedings paper

Harvard

Castin, N, Malerba, L, Bonny, G & Terentyev, D 2008, New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence. in Proceedings of the Fourth International Conference on Multiscale Materials Modeling. Tallahassee, FL, United States, Fourth International Conference on Multiscale Materials Modeling, Tallahassee, Florida, United States, 2008-10-27.

APA

Castin, N., Malerba, L., Bonny, G., & Terentyev, D. (2008). New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence. In Proceedings of the Fourth International Conference on Multiscale Materials Modeling Tallahassee, FL, United States.

Vancouver

Castin N, Malerba L, Bonny G, Terentyev D. New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence. In Proceedings of the Fourth International Conference on Multiscale Materials Modeling. Tallahassee, FL, United States. 2008

Author

Castin, Nicolas ; Malerba, Lorenzo ; Bonny, Giovanni ; Terentyev, Dmitry. / New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence. Proceedings of the Fourth International Conference on Multiscale Materials Modeling. Tallahassee, FL, United States, 2008.

Bibtex - Download

@inproceedings{422e07feeaed42739d6b1f0f01735e42,
title = "New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence.",
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.",
keywords = "Artificial Intelligence, Atomistic Kinetic Monte Carlo, Vacancy Migration Energy",
author = "Nicolas Castin and Lorenzo Malerba and Giovanni Bonny and Dmitry Terentyev",
note = "Score = 1",
year = "2008",
month = "10",
language = "English",
isbn = "978-0-615-24781-6",
booktitle = "Proceedings of the Fourth International Conference on Multiscale Materials Modeling",

}

RIS - Download

TY - GEN

T1 - New Approach To Model Point Defects Migration Using A Monte-Carlo Paradigm Coupled With Artificial Intelligence.

AU - Castin, Nicolas

AU - Malerba, Lorenzo

A2 - Bonny, Giovanni

A2 - Terentyev, Dmitry

N1 - Score = 1

PY - 2008/10

Y1 - 2008/10

N2 - 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.

AB - 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.

KW - Artificial Intelligence

KW - Atomistic Kinetic Monte Carlo

KW - Vacancy Migration Energy

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_92947

UR - http://knowledgecentre.sckcen.be/so2/bibref/5364

M3 - In-proceedings paper

SN - 978-0-615-24781-6

BT - Proceedings of the Fourth International Conference on Multiscale Materials Modeling

CY - Tallahassee, FL, United States

ER -

ID: 367832