Time-resolved ARPES with tunable 12–21.6 eV XUV at 400 kHz repetition rate F Chen*, J Wang*, M Pan*, J Liu*, J Huang, K Zhao, C Yun, T Qian, Z Wei, ... Review of Scientific Instruments 94 (4), 2023 | 9 | 2023 |
Evidence for an Excitonic Insulator State in Ta2Pd3Te5 J Huang, B Jiang, J Yao, D Yan, X Lei, J Gao, Z Guo, F Jin, Y Li, Z Yuan, ... Physical Review X 14 (1), 011046, 2024 | 7 | 2024 |
High-flux wavelength tunable XUV source in the 12–40.8 eV photon energy range with adjustable energy and time resolution for Tr-ARPES applications J Wang, F Chen, M Pan, S Xu, R Lv, J Liu, Y Li, S Fang, Y Chen, J Zhu, ... Optics Express 31 (6), 9854-9871, 2023 | 7 | 2023 |
Removing grid structure in angle-resolved photoemission spectra via deep learning method J Liu*, D Huang*, Y Yang, T Qian Physical Review B 107 (16), 165106, 2023 | 5 | 2023 |
Intrinsic surface p-wave superconductivity in layered AuSn4 W Zhu, R Song, J Huang, QW Wang, Y Cao, R Zhai, Q Bian, Z Shao, ... Nature Communications 14 (1), 7012, 2023 | 4 | 2023 |
Electronic Structure of the Weak Topological Insulator Candidate Zintl Ba3Cd2Sb4 J Huang, T Zhang, S Xu, Z Rao, J Li, J Liu, S Gao, Y Huang, W Zhu, T Xia, ... Chinese Physics Letters 40 (4), 047101, 2023 | 4 | 2023 |
Time-resolved ARPES with probe energy of 6.0/7.2 eV and switchable resolution configuration M Pan*, J Liu*, F Chen*, J Wang, C Yun, T Qian Review of Scientific Instruments 95 (1), 2024 | 3 | 2024 |
Spectroscopic data de-noising via training-set-free deep learning method D Huang*, J Liu*, T Qian, Y Yang Science China Physics, Mechanics & Astronomy 66 (6), 267011, 2023 | 3 | 2023 |
Nonvolatile optical control of interlayer stacking order in 1T-TaS2 J Liu*, P Liu*, L Yang*, SH Lee, M Pan, F Chen, J Huang, B Jiang, M Hu, ... arXiv preprint arXiv:2405.02831, 2024 | 2 | 2024 |
Multiple topological phases in tetradymite compounds M2Te2P (M=Ti, Zr, or Hf) M Pan, B Li, H Wang, J Liu, F Chen, J Huang, G Qu, S Gao, B Jiang, ... Physical Review B 109 (22), L220102, 2024 | | 2024 |
Training-set-free two-stage deep learning for Spectroscopic data de-noising D Huang*, J Liu*, T Qian, H Weng arXiv preprint arXiv:2402.18830, 2024 | | 2024 |