Probabilistic AI for Prediction of Material Properties (PROMAP)



Lye, Adolphus ORCID: 0000-0002-1803-8344, Prinja, Nawal and Patelli, Edoardo ORCID: 0000-0002-5007-7247
(2022) Probabilistic AI for Prediction of Material Properties (PROMAP). [Poster]

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Abstract

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 and Engineering > School of Engineering
Depositing User: Symplectic Admin
Date Deposited: 29 Mar 2022 07:28
Last Modified: 18 Jan 2023 21:06
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3151659