Artificial intelligence applied to simulation of radiation damage in ferritic alloys

Roberto P. Domingos; Gennaro M. Cerchiara; Flyura Djurabekova; Lorenzo Malerba

doi:10.1142/9789812774118_0124

Artificial intelligence applied to simulation of radiation damage in ferritic alloys

Roberto P. Domingos, Gennaro M. Cerchiara, Flyura Djurabekova, Lorenzo Malerba

Research output › peer-review

Abstract

Molecular dynamics (MD) is the only computational tool that, without any approximation, can be applied to study atomic level phenomena involving radiation produced point-defects and their evolution driven by mutual interaction. Kinetic Monte Carlo (KMC) is suitable to extend the timeframe of an atomic level simulation to simulate an irradiation process, but all mechanisms involved must be known in advance, e.g. from MD studies. The present work is an effort to integrate artificial intelligence (AI) techniques, essentially an artificial neural network (ANN) and a fuzzy logic system (FLS), in order to build an adaptive model capable of improving both the physical reliability and the computational efficiency of a KMC model fully parameterized on MD results.

Original language	English
Title of host publication	Applied Artificial Intelligence
Subtitle of host publication	Proceedings of the 7th International FLINS Conference, FLINS 2006
Editors	Pierre D'Hondt, Etienne E. Kerre, Da Ruan, Martine De Cock, Mike Nachtegael, Paolo F. Fantoni
Place of Publication	Singapore, Singapore
Publisher	World Scientific Publishing Co. Pte Ltd
Pages	883-890
Number of pages	8
Volume	1
ISBN (Electronic)	9789814478472
ISBN (Print)	9789812566904
DOIs	https://doi.org/10.1142/9789812774118_0124
State	Published - 2006
Event	2006 - 7th international FLINS conference on Fuzzy Logic and Intelligent technologies in Nuclear Science - Genova Duration: 29 Aug 2006 → 31 Aug 2006 Conference number: FLINS2006

Publication series

Name	Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006

Conference

Conference	2006 - 7th international FLINS conference on Fuzzy Logic and Intelligent technologies in Nuclear Science
Country/Territory	Italy
City	Genova
Period	2006-08-29 → 2006-08-31

Funding

This work is supported by the EC-funded FP6 Integrated Project PERFECT (Prediction of Irradiation Damage Effect in Reactor Components).

Funders	Funder number
Euratom 6th Framework Program

ASJC Scopus subject areas

Information Systems
Computational Theory and Mathematics
Nuclear and High Energy Physics

Access to Document

10.1142/9789812774118_0124License: Unspecified

Cite this

Domingos, R. P., Cerchiara, G. M., Djurabekova, F., & Malerba, L. (2006). Artificial intelligence applied to simulation of radiation damage in ferritic alloys. In P. D'Hondt, E. E. Kerre, D. Ruan, M. De Cock, M. Nachtegael, & P. F. Fantoni (Eds.), Applied Artificial Intelligence: Proceedings of the 7th International FLINS Conference, FLINS 2006 (Vol. 1, pp. 883-890). (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). World Scientific Publishing Co. Pte Ltd. https://doi.org/10.1142/9789812774118_0124

Domingos, Roberto P. ; Cerchiara, Gennaro M. ; Djurabekova, Flyura et al. / Artificial intelligence applied to simulation of radiation damage in ferritic alloys. Applied Artificial Intelligence: Proceedings of the 7th International FLINS Conference, FLINS 2006. editor / Pierre D'Hondt ; Etienne E. Kerre ; Da Ruan ; Martine De Cock ; Mike Nachtegael ; Paolo F. Fantoni. Vol. 1 Singapore, Singapore : World Scientific Publishing Co. Pte Ltd, 2006. pp. 883-890 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

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title = "Artificial intelligence applied to simulation of radiation damage in ferritic alloys",

abstract = "Molecular dynamics (MD) is the only computational tool that, without any approximation, can be applied to study atomic level phenomena involving radiation produced point-defects and their evolution driven by mutual interaction. Kinetic Monte Carlo (KMC) is suitable to extend the timeframe of an atomic level simulation to simulate an irradiation process, but all mechanisms involved must be known in advance, e.g. from MD studies. The present work is an effort to integrate artificial intelligence (AI) techniques, essentially an artificial neural network (ANN) and a fuzzy logic system (FLS), in order to build an adaptive model capable of improving both the physical reliability and the computational efficiency of a KMC model fully parameterized on MD results.",

keywords = "Molecular dynamics, Kinetic Monte Carlo (KMC), Artificial Intelligence (AI), Artificial Neural Network (ANN), Fuzzy Logic System (FLS), Radiation damage, Ferritic alloys",

author = "Domingos, {Roberto P.} and Cerchiara, {Gennaro M.} and Flyura Djurabekova and Lorenzo Malerba",

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Domingos, RP, Cerchiara, GM, Djurabekova, F & Malerba, L 2006, Artificial intelligence applied to simulation of radiation damage in ferritic alloys. in P D'Hondt, EE Kerre, D Ruan, M De Cock, M Nachtegael & PF Fantoni (eds), Applied Artificial Intelligence: Proceedings of the 7th International FLINS Conference, FLINS 2006. vol. 1, Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006, World Scientific Publishing Co. Pte Ltd, Singapore, Singapore, pp. 883-890, 2006 - 7th international FLINS conference on Fuzzy Logic and Intelligent technologies in Nuclear Science, Genova, Italy, 2006-08-29. https://doi.org/10.1142/9789812774118_0124

Artificial intelligence applied to simulation of radiation damage in ferritic alloys. / Domingos, Roberto P.; Cerchiara, Gennaro M.; Djurabekova, Flyura et al.
Applied Artificial Intelligence: Proceedings of the 7th International FLINS Conference, FLINS 2006. ed. / Pierre D'Hondt; Etienne E. Kerre; Da Ruan; Martine De Cock; Mike Nachtegael; Paolo F. Fantoni. Vol. 1 Singapore, Singapore: World Scientific Publishing Co. Pte Ltd, 2006. p. 883-890 (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006).

Research output › peer-review

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PB - World Scientific Publishing Co. Pte Ltd

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ER -

Domingos RP, Cerchiara GM, Djurabekova F, Malerba L. Artificial intelligence applied to simulation of radiation damage in ferritic alloys. In D'Hondt P, Kerre EE, Ruan D, De Cock M, Nachtegael M, Fantoni PF, editors, Applied Artificial Intelligence: Proceedings of the 7th International FLINS Conference, FLINS 2006. Vol. 1. Singapore, Singapore: World Scientific Publishing Co. Pte Ltd. 2006. p. 883-890. (Applied Artificial Intelligence - Proceedings of the 7th International FLINS Conference, FLINS 2006). doi: 10.1142/9789812774118_0124