Modelling radiation-induced phase changes in binary FeCu and ternary FeCuNi alloys using an artificial intelligence-based atomistic kinetic Monte Carlo approach

Nuclear Instruments and Methods in Physics Research, Section B: Beam Interactions with Materials and Atoms

Volumn 267, Issue 18, 2009, Pages 3002-3008

  Castin, N ^a,b   Malerba, L ^a   Bonny, G ^a,c   Pascuet, M I ^a,d,e   Hou, M ^b  

^a BELGIAN NUCLEAR RESEARCH CENTRE   (Belgium)

^b UNIVERSITÉ LIBRE DE BRUXELLES   (Belgium)

^c GHENT UNIVERSITY   (Belgium)

^d DEPARTAMENTO DE FÍSICA   (Argentina)

^e Facultad de Ciencias Naturales e Instituto M Lillo   (Argentina)

Author keywords

Artificial intelligence; Atomistic kinetic Monte Carlo; Fe alloys; Phase changes

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; ARTIFICIAL NEURAL NETWORK; ATOMIC CONFIGURATION; ATOMISTIC KINETIC MONTE CARLO; COMPLEX PROBLEMS; COMPUTATIONAL COSTS; FE ALLOYS; INTERATOMIC POTENTIAL; KINETIC MONTE CARLO; KINETIC MONTE CARLO MODEL; MIGRATION ENERGY; NUCLEAR APPLICATION; NUDGED ELASTIC BAND; ON-THE-FLY; PHASE CHANGES; RADIATION-INDUCED; REACTOR PRESSURE VESSEL STEELS; RELAXATION EFFECT; SELF-INTERSTITIAL; VACANCY DIFFUSION;

BINARY ALLOYS; COMPUTER SIMULATION; DIFFUSION BARRIERS; ENERGY BARRIERS; MONTE CARLO METHODS; NEURAL NETWORKS; NUCLEAR ENERGY; NUCLEAR INDUSTRY; NUCLEAR POWER PLANTS; POINT DEFECTS; PRESSURE VESSELS; RADIATION DAMAGE; VACANCIES;

PRECIPITATION (CHEMICAL);

EID: 70249098896     PISSN: 0168583X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.nimb.2009.06.092     Document Type: Article

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