Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data

Research output: Contribution to journalSpecial issue

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Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data. / Hyde, Jonathan M.; DaCosta, Gérald; Hatzoglou, Constantinos; Weekes, H.annah; Radiguet, Bertrand; Styman, Paul D. ; Vurpillot, Francois; Pareige, Cristelle; Etienne, Auriane; Bonny, Giovanni; Castin, Nicolas; Malerba, Lorenzo; Pareige, Philippe.

In: Microscopy and Microanalysis, Vol. 23, No. Special Issue 2, 28132662, 30.01.2017, p. 366-375.

Research output: Contribution to journalSpecial issue

Harvard

Hyde, JM, DaCosta, G, Hatzoglou, C, Weekes, HA, Radiguet, B, Styman, PD, Vurpillot, F, Pareige, C, Etienne, A, Bonny, G, Castin, N, Malerba, L & Pareige, P 2017, 'Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data', Microscopy and Microanalysis, vol. 23, no. Special Issue 2, 28132662, pp. 366-375. https://doi.org/10.1017/S1431927616012678

APA

Hyde, J. M., DaCosta, G., Hatzoglou, C., Weekes, H. A., Radiguet, B., Styman, P. D., ... Pareige, P. (2017). Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data. Microscopy and Microanalysis, 23(Special Issue 2), 366-375. [28132662]. https://doi.org/10.1017/S1431927616012678

Vancouver

Hyde JM, DaCosta G, Hatzoglou C, Weekes HA, Radiguet B, Styman PD et al. Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data. Microscopy and Microanalysis. 2017 Jan 30;23(Special Issue 2):366-375. 28132662. https://doi.org/10.1017/S1431927616012678

Author

Hyde, Jonathan M. ; DaCosta, Gérald ; Hatzoglou, Constantinos ; Weekes, H.annah ; Radiguet, Bertrand ; Styman, Paul D. ; Vurpillot, Francois ; Pareige, Cristelle ; Etienne, Auriane ; Bonny, Giovanni ; Castin, Nicolas ; Malerba, Lorenzo ; Pareige, Philippe. / Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data. In: Microscopy and Microanalysis. 2017 ; Vol. 23, No. Special Issue 2. pp. 366-375.

Bibtex - Download

@article{921253b7d5c74c53b74282b4879a464d,
title = "Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data",
abstract = "Irradiation of reactor pressure vessel (RPV) steels causes the formation of nanoscale microstructural features (termed radiation damage), which affect the mechanical properties of the vessel. A key tool for characterizing these nanoscale features is atom probe tomography (APT), due to its high spatial resolution and the ability to identify different chemical species in three dimensions. Microstructural observations using APT can underpin development of a mechanistic understanding of defect formation. However, with atom probe analyses there are currently multiple methods for analyzing the data. This can result in inconsistencies between results obtained from different researchers and unnecessary scatter when combining data from multiple sources. This makes interpretation of results more complex and calibration of radiation damage models challenging. In this work simulations of a range of different microstructures are used to directly compare different cluster analysis algorithms and identify their strengths and weaknesses.",
keywords = "atom probe field ion microscopy, statistical analysis, solute clustering",
author = "Hyde, {Jonathan M.} and G{\'e}rald DaCosta and Constantinos Hatzoglou and H.annah Weekes and Bertrand Radiguet and Styman, {Paul D.} and Francois Vurpillot and Cristelle Pareige and Auriane Etienne and Giovanni Bonny and Nicolas Castin and Lorenzo Malerba and Philippe Pareige",
note = "Score=10",
year = "2017",
month = "1",
day = "30",
doi = "10.1017/S1431927616012678",
language = "English",
volume = "23",
pages = "366--375",
journal = "Microscopy and Microanalysis",
issn = "1431-9276",
publisher = "Cambridge University Press",
number = "Special Issue 2",

}

RIS - Download

TY - JOUR

T1 - Analysis of Radiation Damage in Light Water Reactors: Comparison of Cluster Analysis Methods for the Analysis of Atom Probe Data

AU - Hyde, Jonathan M.

AU - DaCosta, Gérald

AU - Hatzoglou, Constantinos

AU - Weekes, H.annah

AU - Radiguet, Bertrand

AU - Styman, Paul D.

AU - Vurpillot, Francois

AU - Pareige, Cristelle

AU - Etienne, Auriane

AU - Bonny, Giovanni

AU - Castin, Nicolas

AU - Malerba, Lorenzo

AU - Pareige, Philippe

N1 - Score=10

PY - 2017/1/30

Y1 - 2017/1/30

N2 - Irradiation of reactor pressure vessel (RPV) steels causes the formation of nanoscale microstructural features (termed radiation damage), which affect the mechanical properties of the vessel. A key tool for characterizing these nanoscale features is atom probe tomography (APT), due to its high spatial resolution and the ability to identify different chemical species in three dimensions. Microstructural observations using APT can underpin development of a mechanistic understanding of defect formation. However, with atom probe analyses there are currently multiple methods for analyzing the data. This can result in inconsistencies between results obtained from different researchers and unnecessary scatter when combining data from multiple sources. This makes interpretation of results more complex and calibration of radiation damage models challenging. In this work simulations of a range of different microstructures are used to directly compare different cluster analysis algorithms and identify their strengths and weaknesses.

AB - Irradiation of reactor pressure vessel (RPV) steels causes the formation of nanoscale microstructural features (termed radiation damage), which affect the mechanical properties of the vessel. A key tool for characterizing these nanoscale features is atom probe tomography (APT), due to its high spatial resolution and the ability to identify different chemical species in three dimensions. Microstructural observations using APT can underpin development of a mechanistic understanding of defect formation. However, with atom probe analyses there are currently multiple methods for analyzing the data. This can result in inconsistencies between results obtained from different researchers and unnecessary scatter when combining data from multiple sources. This makes interpretation of results more complex and calibration of radiation damage models challenging. In this work simulations of a range of different microstructures are used to directly compare different cluster analysis algorithms and identify their strengths and weaknesses.

KW - atom probe field ion microscopy

KW - statistical analysis

KW - solute clustering

UR - http://ecm.sckcen.be/OTCS/llisapi.dll?func=ll&objId=22640451&objaction=overview&tab=1

U2 - 10.1017/S1431927616012678

DO - 10.1017/S1431927616012678

M3 - Special issue

VL - 23

SP - 366

EP - 375

JO - Microscopy and Microanalysis

JF - Microscopy and Microanalysis

SN - 1431-9276

IS - Special Issue 2

M1 - 28132662

ER -

ID: 2128156