氢化物超导体临界转变温度的机器学习模型
Machine Learning Model for Predicting the Critical Transition Temperature of Hydride Superconductors
(a) critical temperature (Tc) vs pressure
(b) number of binary and ternary hydrides in different Tc distribution intervals
氢化物超导体临界转变温度的机器学习模型 |
| 赵晋彬, 王建韬, 何东昌, 李俊林, 孙岩, 陈星秋, 刘培涛 |
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Machine Learning Model for Predicting the Critical Transition Temperature of Hydride Superconductors |
| ZHAO Jinbin, WANG Jiantao, HE Dongchang, LI Junlin, SUN Yan, CHEN Xing-Qiu, LIU Peitao |
| 图1 氢化物超导体的分布情况 |
| Fig.1 Distribution of hydride superconductors (a) critical temperature (Tc) vs pressure (b) number of binary and ternary hydrides in different Tc distribution intervals |
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