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dc.contributor.authorKelly, S
dc.contributor.authorWhite, R
dc.contributor.authorVolkenandt, T
dc.contributor.authorHarris, W
dc.contributor.authorTordoff, B
dc.contributor.authorLaudone, Giuliano Maurizio
dc.contributor.authorJones, K
dc.contributor.authorVeater, B
dc.date.accessioned2022-09-08T14:02:56Z
dc.date.available2022-09-08T14:02:56Z
dc.date.issued2021-08
dc.identifier.issn1431-9276
dc.identifier.issn1435-8115
dc.identifier.urihttp://hdl.handle.net/10026.1/19610
dc.description.abstract

Research to support nuclear energy development faces many challenges. Understanding material microstructures is not only essential to predicting and understanding the in-service performance of materials used in nuclear energy production, but also in understanding aging and corrosion of these materials as they interact with their environment. However, microstructural characterization of nuclear materials poses unique obstacles. Unique materials and material combinations push traditional microstructural evaluation techniques to their limits. Radioactive samples make normally routine microstructural characterization tasks much more complex. Precious samples force rigorous, multi-scale analysis workflows. And, materials that face and must endure uniquely harsh operational environments increase the demands for deep microstructural understandings. In this context, multiscale characterization workflows and the technology that supports them play an integral role in advancing materials development for nuclear energy production. The advent of the femtosecond (fs) laser and its application to material ablation tasks has proven to be a game changer for materials research. With their extremely rapid milling rates (orders of magnitude faster than traditional ion beam approaches) and minimal heat affected zone (HAZ), the fs-laser has brought about a renaissance in advanced materials characterization capabilities

dc.format.extent3086-3087
dc.languageen
dc.language.isoen
dc.publisherOxford University Press (OUP)
dc.titleNovel nuclear materials characterization workflows enabled by fs-laser milling
dc.typejournal-article
plymouth.issueS1
plymouth.volume27
plymouth.publication-statusPublished
plymouth.journalMicroscopy and Microanalysis
dc.identifier.doi10.1017/s1431927621010680
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Geography, Earth and Environmental Sciences
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA07 Earth Systems and Environmental Sciences
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.identifier.eissn1435-8115
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1017/s1431927621010680
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeJournal Article/Review


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