Prediction of superconducting transition temperature using a machine-learning method-Reference-Cited by-同舟云学术

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Prediction of superconducting transition temperature using a machine-learning method

Published:2018-10-02 Issue:5 Volume:52 Page:639-643
ISSN:1580-2949
Container-title:Materiali in tehnologije
language:
Short-container-title:Mater. Tehnol.

Author:

Liu Y.,Zhang H.,Xu Y.,Li S.,Dai D.,Li C.,Ding G.,Shen W.,Qian Q.

Publisher

Institute of Metals and Technology

Subject

Metals and Alloys,Polymers and Plastics

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Predicting the critical superconducting temperature using the random forest, MLP neural network, M5 model tree and multivariate linear regression;Alexandria Engineering Journal;2024-01

2. Upper limit of the transition temperature of superconducting materials;Patterns;2022-11

3. Application of machine learning for advanced material prediction and design;EcoMat;2022-03-07

4. Testing whether flat bands in the calculated electronic density of states are good predictors of superconducting materials;Journal of Physics and Chemistry of Solids;2021-04

5. Machine learning on the electron–boson mechanism in superconductors;New Journal of Physics;2020-12-01

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