Search
ChatPaper
AI Writing
analysis
Analysis
编组
Open Data
more
More
RankingsMust ReadingJournal&ConferenceAI TRAI HistoryMaster Reading TreeXiaomai's Star TalentsTrajectoryTalentNDI TrackerAI sign LanguageOpen
VIPCreated with Sketch.

Data-driven machine learning for disposal of high-level nuclear waste: A review

Guang Hu,Wilfried Pfingsten

Annals of Nuclear Energy（2023）

Cited 8|Views3
No score
Abstract
•Comprehensive work on the DDML for the disposal of the HLW is examined.•Typical DDML algorithms and the main characteristics for the DGR are summarized.•Applications and development of the DDML for the disposal of HLW are analyzed.
More
Translated text
Key words
Data-driven,Machine learning,High-level nuclear waste,Deep geological repository
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined