📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Quantitative and Qualitative Analyses of Mass Spectra of OEL Materials by Artificial Neural Network and Interface Evaluation: Results from a VAMAS Interlaboratory Study. (2023)

First Author: Aoyagi S

Attributed to: The Royce: Capitalising on the investment funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1021/acs.analchem.3c03173

PubMed Identifier: 37715701

Publication URI: http://europepmc.org/abstract/MED/37715701

Type: Journal Article/Review

Volume: 95

Parent Publication: Analytical chemistry

Issue: 40

ISSN: 0003-2700