Penfold, Thomas https://orcid.org/0000-0003-4490-5672
Watson, Luke https://orcid.org/0000-0003-1255-8055
Middleton, Clelia
David, Tudur
Verma, Sneha
Pope, Thomas https://orcid.org/0000-0001-7552-9812
Kaczmarek, Julia https://orcid.org/0009-0004-6922-0447
Rankine, Conor https://orcid.org/0000-0002-7104-847X
Funding for this research was provided by:
Leverhulme Trust (RPG-2020-268)
EPSRC (EP/R021503/1)
Article Title: Machine-learning strategies for the accurate and efficient analysis of x-ray spectroscopy
Journal Title: Machine Learning: Science and Technology
Article Type: paper
Copyright Information: © 2024 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2023-11-24
Date Accepted: 2024-05-24
Online publication date: 2024-06-07