Probabilistic AI for Prediction of Material Properties (PROMAP)

Lye, Adolphus, Prinja, Nawal and Patelli, Edoardo ORCID: 0000-0002-5007-7247 (2022) Probabilistic AI for Prediction of Material Properties (PROMAP) [Poster]

Text PROMAP Poster.pdf - Unspecified Download (1MB) | Preview

Description

A feasibility study to combine Artificial Intelligence models with probabilistic methods to help predict the properties of materials used in the nuclear industry.

Item Type:	Poster
Divisions:	Faculty of Science & Engineering > School of Engineering
Depositing User:	Symplectic Admin
Date Deposited:	29 Mar 2022 07:28
Last Modified:	08 Feb 2025 02:26
Related Websites:	Author
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3151659
Disclaimer:	The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate.