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Part A: Materials Science

Precipitate growth in concentrated binary alloys: a comparison between kinetic Monte Carlo simulations, cluster dynamics and the classical theory

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Pages 3194-3215 | Received 29 Nov 2012, Accepted 07 May 2013, Published online: 14 Jun 2013

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J. Lépinoux. (2022) How to extract the critical size of clusters from AKMC simulations of precipitation. Philosophical Magazine 102:21, pages 2163-2184.
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J. Lepinoux & C. Sigli. (2016) On the effect of concentrated solid solutions on properties of clusters in a model binary alloy. Philosophical Magazine 96:10, pages 955-971.
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Articles from other publishers (4)

Markus Eisenbach, Mariia Karabin, Massimiliano Lupo Pasini & Junqi Yin. 2022. Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation. Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation 75 86 .
A. Deschamps & C.R. Hutchinson. (2021) Precipitation kinetics in metallic alloys: Experiments and modeling. Acta Materialia 220, pages 117338.
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Anthony Seret, Charbel Moussa, Marc Bernacki & Nathalie Bozzolo. (2020) A mean field model of agglomeration as an extension to existing precipitation models. Acta Materialia 192, pages 40-51.
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D. Carpentier, T. Jourdan, P. Terrier, M. Athènes & Y. Le Bouar. (2020) Effect of sink strength dispersion on cluster size distributions simulated by cluster dynamics. Journal of Nuclear Materials 533, pages 152068.
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