Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach

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

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Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach. / Castin, Nicolas; Bonny, Giovanni; Malerba, Lorenzo; 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, Bonny, G, Malerba, L & Terentyev, D 2008, Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach. 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., Bonny, G., Malerba, L., & Terentyev, D. (2008). Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach. In Proceedings of the Fourth international conference on Multiscale Materials Modeling Tallahassee, FL, United States.

Vancouver

Castin N, Bonny G, Malerba L, Terentyev D. Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach. In Proceedings of the Fourth international conference on Multiscale Materials Modeling. Tallahassee, FL, United States. 2008

Author

Bibtex - Download

@inproceedings{8b71db16b4a649d192972cc9e5363f26,
title = "Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach",
abstract = "In this short proceedings paper, we briefly described the application of our new Artificial Intelligence (AI) based approach to model the migration of point-defects to the ternary Fe-Ni-Cu alloy. We qualitatively analysed the influence of a small Ni concentration on the kinetics of Cu precipitation in Fe, as predicted by the inter-atomic potential.",
keywords = "Artificial Intelligence, Vacancy Migration, thermal annealing",
author = "Nicolas Castin and Giovanni Bonny and Lorenzo Malerba 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 - Modelling radiation-induced phase changes in ternary Fe-Cu-Ni alloys using a Monte-Carlo Artificial Intelligence approach

AU - Castin, Nicolas

AU - Bonny, Giovanni

AU - Malerba, Lorenzo

A2 - Terentyev, Dmitry

N1 - Score = 1

PY - 2008/10

Y1 - 2008/10

N2 - In this short proceedings paper, we briefly described the application of our new Artificial Intelligence (AI) based approach to model the migration of point-defects to the ternary Fe-Ni-Cu alloy. We qualitatively analysed the influence of a small Ni concentration on the kinetics of Cu precipitation in Fe, as predicted by the inter-atomic potential.

AB - In this short proceedings paper, we briefly described the application of our new Artificial Intelligence (AI) based approach to model the migration of point-defects to the ternary Fe-Ni-Cu alloy. We qualitatively analysed the influence of a small Ni concentration on the kinetics of Cu precipitation in Fe, as predicted by the inter-atomic potential.

KW - Artificial Intelligence

KW - Vacancy Migration

KW - thermal annealing

UR - http://ecm.sckcen.be/OTCS/llisapi.dll/open/ezp_92950

UR - http://knowledgecentre.sckcen.be/so2/bibref/5365

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: 147246