Data for: Identifying key parameters for predicting radiation-tolerant materials by machine learning

Published: 04-02-2021| Version 1 | DOI: 10.17632/pc9gmchk3m.1
Contributor:
Qian Wang

Description

This dataset is a collection of radiation-tolerant materials for training machine-learning models.

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