Prediction of the Critical Temperature of Superconductors Based on Two-Layer Feature Selection and the Optuna-Stacking Ensemble Learning Model

[Image: see text] The study of superconductors’ critical temperature (T(c)) has been a matter of interest. A method combining a two-layer feature selection (TL) and Optuna-Stacking ensemble learning model is proposed in the study for predicting T(c) from physicochemical components. Since most machin...

Descripción completa

Detalles Bibliográficos
Autores principales: Yu, Jiahao, Zhao, Yongman, Pan, Rongshun, Zhou, Xue, Wei, Zikai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878623/
https://www.ncbi.nlm.nih.gov/pubmed/36713747
http://dx.doi.org/10.1021/acsomega.2c06324

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9878623/
https://www.ncbi.nlm.nih.gov/pubmed/36713747
http://dx.doi.org/10.1021/acsomega.2c06324

Ejemplares similares