Understanding fission gas bubble distribution, lanthanide transportation, and thermal conductivity degradation in neutron-irradiated alpha-U using machine learning

Min Xian; Lu Cai; Fei Xu; Fidelma Giulia Di Lemma; Jeffrey J Giglio; Michael T Benson; Daniel J Murray; Cynthia A Adkins; Joshua J Kane; Luca Capriotti; Tiankai Yao

doi:10.1016/j.matchar.2021.111657

Journal article

Understanding fission gas bubble distribution, lanthanide transportation, and thermal conductivity degradation in neutron-irradiated alpha-U using machine learning

Min Xian, Lu Cai, Fei Xu, Fidelma Giulia Di Lemma, Jeffrey J Giglio, Michael T Benson, Daniel J Murray, Cynthia A Adkins, Joshua J Kane, Luca Capriotti, …

Materials Characterization, Vol.184

2022

DOI: https://doi.org/10.1016/j.matchar.2021.111657

Appears in Artificial Intelligence and Machine Learning Research

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Title: Understanding fission gas bubble distribution, lanthanide transportation, and thermal conductivity degradation in neutron-irradiated alpha-U using machine learning
Creators: Min Xian - University of Idaho
Lu Cai - Idaho National Laboratory
Fei Xu - Idaho National Laboratory
Fidelma Giulia Di Lemma - Idaho National Laboratory
Jeffrey J Giglio - Idaho National Laboratory
Michael T Benson - Idaho National Laboratory
Daniel J Murray - Idaho National Laboratory
Cynthia A Adkins - Idaho National Laboratory
Joshua J Kane - Idaho National Laboratory
Luca Capriotti - Idaho National Laboratory
Tiankai Yao - Idaho National Laboratory
Publication Details: Materials Characterization, Vol.184
Identifiers: 996632207701851
Academic Unit: Initiative for Bioinformatics and Evolutionary Studies; Institute for Modeling Collaboration and Innovation; Computer Science
Language: English
Resource Type: Journal article