An integrated machine learning model for accurate and robust prediction of superconducting critical temperature

Autor:	Jingzi Zhang, Ke Zhang, Shaomeng Xu, Yi Li, Chengquan Zhong, Mengkun Zhao, Hua-Jun Qiu, Mingyang Qin, X.-D. Xiang, Kailong Hu, Xi Lin
Rok vydání:	2023
Předmět:	Fuel Technology Electrochemistry Energy Engineering and Power Technology Energy (miscellaneous)
Zdroj:	Journal of Energy Chemistry. 78:232-239
ISSN:	2095-4956
DOI:	10.1016/j.jechem.2022.11.047
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::3abd29f0c6ba6ed38a2f0b890a1e0378 https://doi.org/10.1016/j.jechem.2022.11.047 Zobrazit plný text záznamu Full Text from ScienceDirect