Disorder induced phase transition in magnetic higher-order topological insulator: A machine learning study<xref rid="cpb_28_11_117301_fn1" ref-type="fn">*</xref><fn id="cpb_28_11_117301_fn1"><label>*</label><p>Project supported by the National Natural Science Foundation of China (Grant No. 11822407) and the Priority Academic Program Development of Jiangsu Higher Education Institutions, China.</p></fn>

Disorder induced phase transition in magnetic higher-order topological insulator: A machine learning study**

Project supported by the National Natural Science Foundation of China (Grant No. 11822407) and the Priority Academic Program Development of Jiangsu Higher Education Institutions, China.

Su Zixian¹, Kang Yanzhuo², Zhang Bofeng¹, Zhang Zhiqiang^{1, †}, Jiang Hua^{1, 3}

(a) The maximum probability of the output determined by the machine verses B and W. The dotted black line is the phase boundary depicted by the minimum probability. (b) The corresponding phase with the maximum probability in plane B–W. Red, green, and blue parts correspond to the Chern insulator, normal insulator, and second-order topological insulator, respectively.