ePubs

The open archive for STFC research publications

⚠ ePubs is undergoing scheduled maintenance on 18/11/2020 between 10:00-12:00. During this time, there will be periods when the service will be unavailable.

Full Record Details

Persistent URL http://purl.org/net/epubs/work/62100901
Record Status Checked
Record Id 62100901
Title Predicting neutron experiments from first principles: A workflow powered by machine learning
Contributors
Abstract
Organisation ISIS , ISIS-TOSCA , ISIS-ANA , ISIS-GEN , STFC
Keywords
Funding Information
Related Research Object(s):
Licence Information: Creative Commons Attribution 3.0 Unported (CC BY 3.0)
Language English (EN)
Type Details URI(s) Local file(s) Year
Journal Article J Mater Chem A (2025). doi:10.1039/D5TA03325J 2025