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ZENODO
Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
ZENODO
Conference object . 2024
License: CC BY
Data sources: Datacite
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XRD Enhanced-Characterization of Steel Through Computational Methods

descriptionPublicationkeyboard_double_arrow_right Conference object , Other literature type 05 Apr 2024Publisher:Zenodo
Authors: Raventós, Marc; Usoltsev, Oleg; Panahi, Seyedeh Leila; Otón, Joaquín;

doi: 10.5281/zenodo.11241312 , 10.5281/zenodo.11241313

XRD Enhanced-Characterization of Steel Through Computational Methods

Abstract

Poster based on Sup3rForm research exhibited by Marc Raventós, Postdoctoral researcher from ALBA Synchrotron, during the seminar “Frontiers in Correlative Material Characterisation: Samples, Techniques, Instrumentation and Data Management”, organised by the Wilhelm and Else Heraeus Foundation between April 2nd-5th in Bonn (Germany).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green