Full Record Details

Persistent URL	http://purl.org/net/epubs/work/65205788
Record Status	Checked
Record Id	65205788
Title	Micro-SORS and machine learning for the non-invasive reference-free study of subsurface pigment degradation
Contributors	A Lux (STFC Rutherford Appleton Lab.), J Schlanz (Department of Chemistry), A Botteon (Institute of Heritage Science), L Monico (Institute of Chemical Sciences and Technologies “Giulio Natta”), P Matousek (STFC Rutherford Appleton Lab.), RI Dima (Department of Chemistry), C Conti (Institute of Heritage Science), P Strobbia (Department of Chemistry)
Abstract
Organisation	CLF , CLF-LFS , STFC
Keywords
Funding Information	EU
Related Research Object(s):
Licence Information:
Language	English (EN)

Type	Details	URI(s)	Local file(s)	Year
Journal Article	The Analyst (2026).	doi:10.1039/D5AN01176K		2026

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