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Title:Scanning photoelectron spectromicroscopy : from static to operando studies of functional materials
Authors:ID Amati, Matteo (Author)
ID Susi, Toma (Author)
ID Jovičević Klug, Patricia (Author)
ID Klug Jovičević, Matic (Author)
ID Kosmala, Tomasz (Author)
ID Granozzi, Gaetano (Author)
ID Agnoli, Stefano (Author)
ID Yang, Pengfei (Author)
ID Zhang, Yanfeng (Author)
ID Scardamaglia, Mattia (Author)
ID Gregoratti, Luca (Author)
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0368204823000531
 
.pdf PDF - Presentation file, download (8,45 MB)
MD5: 3F9CC0CFBDE87B83478F4E2EC22BAD86
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo KI - National Institute of Chemistry
Publication status:Published
Publication version:Version of Record
Publication date:01.05.2023
Year of publishing:2023
Number of pages:str. 1-11
Numbering:Vol. 265, [article no.] 147336
PID:20.500.12556/DiRROS-28699 New window
UDC:577
ISSN on article:1873-2526
DOI:10.1016/j.elspec.2023.147336 New window
COBISS.SI-ID:264241155 New window
Copyright:© 2023 The Authors. Published by Elsevier B.V.
Note:Nasl. z nasl. zaslona; Opis vira z dne 12. 1. 2025;
Publication date in DiRROS:30.03.2026
Views:172
Downloads:92
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Record is a part of a journal

Title:Journal of electron spectroscopy and related phenomena
Publisher:Elsevier
ISSN:1873-2526
COBISS.SI-ID:23141381 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:06.09.2023
Applies to:Text and Data Mining valid from 2023-05-01 Text and Data Mining valid from 2023-05-01 Version of Record valid from 2023-09-06

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