Prediction of the Critical Temperature of Superconductors Based on Two-Layer Feature Selection and the Optuna-Stacking Ensemble Learning Model
Author:
Affiliation:
1. School of Mechanical and Electrical Engineering, Shihezi University, Shihezi832003, China
2. Key Laboratory of Modern Agricultural Machinery, Shihezi University, Shihezi832003, China
Funder
National New Material Production and Application Demonstration Platform Construction Project
Key Laboratory of the Modern Agricultural Machinery
Publisher
American Chemical Society (ACS)
Subject
General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acsomega.2c06324
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1. Design and characteristics study of a 1 MW class superconducting motor for small-ship propulsions
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