dc.contributor.author | Kosasih, FU | en_US |
dc.contributor.author | Su, F | en_US |
dc.contributor.author | Du, T | en_US |
dc.contributor.author | Ratnasingham, SR | en_US |
dc.contributor.author | Briscoe, J | en_US |
dc.contributor.author | Ducati, C | en_US |
dc.date.accessioned | 2023-06-09T15:19:06Z | |
dc.date.available | 2023-03-03 | en_US |
dc.date.issued | 2023 | en_US |
dc.identifier.issn | 1431-9276 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/88839 | |
dc.format.extent | 1047 - 1061 | en_US |
dc.relation.ispartof | MICROSCOPY AND MICROANALYSIS | en_US |
dc.rights | This is an open access article distributed under the terms of the Creative Commons CC BY license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | |
dc.subject | convolutional neural network | en_US |
dc.subject | energy-dispersive X-ray spectroscopy | en_US |
dc.subject | materials' characterization | en_US |
dc.subject | principal component analysis | en_US |
dc.subject | scanning transmission electron microscopy | en_US |
dc.title | Deep Learning-Assisted Multivariate Analysis for Nanoscale Characterization of Heterogeneous Beam-Sensitive Materials | en_US |
dc.type | Article | |
dc.rights.holder | © The Author(s) 2023. Published by Oxford University Press on behalf of the Microscopy Society of America. | |
dc.rights.holder | | |
dc.identifier.doi | 10.1093/micmic/ozad033 | en_US |
pubs.author-url | https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000960268300001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.issue | 3 | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 29 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |