Data-driven material property prediction using probabilistic AI for Nuclear safety

Data-driven material property prediction using probabilistic AI for Nuclear safety

Global Young Scientists Summit 2024

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Bibliographic Details
Main Authors:	Lye, Adolphus, Prinja, Nawal, Patelli, Edoardo
Other Authors:	S'PORE NUCLEAR RSCH & SAFETY INITIATIVE
Format:	Conference or Workshop Item
Published:	2024
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/246806
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Institution:	National University of Singapore

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