📣 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.

Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy (2024)

First Author: Penfold T

Attributed to: ISCF Wave 1: North East Centre for Energy Materials funded by UUI

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1088/2632-2153/ad5074

Publication URI: http://dx.doi.org/10.1088/2632-2153/ad5074

Type: Journal Article/Review

Parent Publication: Machine Learning: Science and Technology

Issue: 2