Matches in SemOpenAlex for { <https://semopenalex.org/work/W2019932851> ?p ?o ?g. }
- W2019932851 endingPage "442" @default.
- W2019932851 startingPage "433" @default.
- W2019932851 abstract "Nanostructured ferritic alloys (NFAs) exhibit complex microstructures consisting of 100–500 nm ferrite grains, grain boundary solute enrichment, and multiple populations of precipitates and nanoclusters (NCs). Understanding these materials’ excellent creep and radiation-tolerance properties requires a combination of multiple atomic-scale experimental techniques. Recent advances in scanning transmission electron microscopy (STEM) hardware and data analysis methods have the potential to revolutionize nanometer-to micrometer-scale materials analysis. Modern high-brightness, high-X-ray collection STEM instruments are capable of enabling advanced experiments, such as simultaneous energy dispersive X-ray spectroscopy and electron energy loss spectroscopy spectrum imaging at nm to sub-nm resolution, that are now well-established for the study of nuclear materials. In this paper, we review past results and present new results illustrating the effectiveness of latest-generation STEM instrumentation and data analysis." @default.
- W2019932851 created "2016-06-24" @default.
- W2019932851 creator A5018456547 @default.
- W2019932851 creator A5035858494 @default.
- W2019932851 date "2015-07-01" @default.
- W2019932851 modified "2023-10-04" @default.
- W2019932851 title "A review of advantages of high-efficiency X-ray spectrum imaging for analysis of nanostructured ferritic alloys" @default.
- W2019932851 cites W1502059815 @default.
- W2019932851 cites W1953443433 @default.
- W2019932851 cites W1966118057 @default.
- W2019932851 cites W1967889200 @default.
- W2019932851 cites W1971707826 @default.
- W2019932851 cites W1972151074 @default.
- W2019932851 cites W1980814635 @default.
- W2019932851 cites W1984914245 @default.
- W2019932851 cites W1986611203 @default.
- W2019932851 cites W1986995605 @default.
- W2019932851 cites W1991033681 @default.
- W2019932851 cites W1994256345 @default.
- W2019932851 cites W1996956590 @default.
- W2019932851 cites W2003252379 @default.
- W2019932851 cites W2004464335 @default.
- W2019932851 cites W2004631746 @default.
- W2019932851 cites W2014375556 @default.
- W2019932851 cites W2021132846 @default.
- W2019932851 cites W2021154597 @default.
- W2019932851 cites W2023082463 @default.
- W2019932851 cites W2024630230 @default.
- W2019932851 cites W2028664480 @default.
- W2019932851 cites W2028877667 @default.
- W2019932851 cites W2030708643 @default.
- W2019932851 cites W2035474391 @default.
- W2019932851 cites W2036505031 @default.
- W2019932851 cites W2038459517 @default.
- W2019932851 cites W2038708523 @default.
- W2019932851 cites W2045470566 @default.
- W2019932851 cites W2057553411 @default.
- W2019932851 cites W2064125222 @default.
- W2019932851 cites W2065511731 @default.
- W2019932851 cites W2066540495 @default.
- W2019932851 cites W2072014108 @default.
- W2019932851 cites W2075951012 @default.
- W2019932851 cites W2078021106 @default.
- W2019932851 cites W2080605749 @default.
- W2019932851 cites W2083535772 @default.
- W2019932851 cites W2083663250 @default.
- W2019932851 cites W2084226654 @default.
- W2019932851 cites W2086531993 @default.
- W2019932851 cites W2089619457 @default.
- W2019932851 cites W2089677442 @default.
- W2019932851 cites W2091516846 @default.
- W2019932851 cites W2094739832 @default.
- W2019932851 cites W2096001216 @default.
- W2019932851 cites W2104957669 @default.
- W2019932851 cites W2106524752 @default.
- W2019932851 cites W2109793622 @default.
- W2019932851 cites W2125163483 @default.
- W2019932851 cites W2137588247 @default.
- W2019932851 cites W2148045344 @default.
- W2019932851 cites W2325730586 @default.
- W2019932851 doi "https://doi.org/10.1016/j.jnucmat.2014.11.134" @default.
- W2019932851 hasPublicationYear "2015" @default.
- W2019932851 type Work @default.
- W2019932851 sameAs 2019932851 @default.
- W2019932851 citedByCount "9" @default.
- W2019932851 countsByYear W20199328512016 @default.
- W2019932851 countsByYear W20199328512017 @default.
- W2019932851 countsByYear W20199328512018 @default.
- W2019932851 countsByYear W20199328512019 @default.
- W2019932851 countsByYear W20199328512022 @default.
- W2019932851 crossrefType "journal-article" @default.
- W2019932851 hasAuthorship W2019932851A5018456547 @default.
- W2019932851 hasAuthorship W2019932851A5035858494 @default.
- W2019932851 hasBestOaLocation W20199328511 @default.
- W2019932851 hasConcept C121332964 @default.
- W2019932851 hasConcept C146088050 @default.
- W2019932851 hasConcept C159985019 @default.
- W2019932851 hasConcept C171250308 @default.
- W2019932851 hasConcept C178187954 @default.
- W2019932851 hasConcept C191897082 @default.
- W2019932851 hasConcept C192562407 @default.
- W2019932851 hasConcept C193016168 @default.
- W2019932851 hasConcept C2778402822 @default.
- W2019932851 hasConcept C32891209 @default.
- W2019932851 hasConcept C37210646 @default.
- W2019932851 hasConcept C47908070 @default.
- W2019932851 hasConcept C62520636 @default.
- W2019932851 hasConcept C77066764 @default.
- W2019932851 hasConcept C87976508 @default.
- W2019932851 hasConceptScore W2019932851C121332964 @default.
- W2019932851 hasConceptScore W2019932851C146088050 @default.
- W2019932851 hasConceptScore W2019932851C159985019 @default.
- W2019932851 hasConceptScore W2019932851C171250308 @default.
- W2019932851 hasConceptScore W2019932851C178187954 @default.
- W2019932851 hasConceptScore W2019932851C191897082 @default.
- W2019932851 hasConceptScore W2019932851C192562407 @default.
- W2019932851 hasConceptScore W2019932851C193016168 @default.
- W2019932851 hasConceptScore W2019932851C2778402822 @default.