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

Nicolas Castin; Giovanni Bonny; Lorenzo Malerba; Dmitry Terentyev

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

Research output › peer-review

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.

Original language	English
Title of host publication	Proceedings of the Fourth international conference on Multiscale Materials Modeling
Place of Publication	Tallahassee, FL, United States
State	Published - Oct 2008
Event	Fourth International Conference on Multiscale Materials Modeling - The Department of Scientific Computing, Florida State University, Tallahassee, Florida 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

Cite this

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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",

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year = "2008",

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language = "English",

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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.

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

T2 - Fourth International Conference on Multiscale Materials Modeling

Y2 - 27 October 2008 through 31 October 2008

ER -