X. Liu - List of publications at the Cyclotron Institute, Texas A&M University

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First name(s):	X.
Last name(s):	Liu

| 1-100 | 101-112 |

Authors associated with the Cyclotron Institute are underlined, and those associated with Center of Excellence in Nuclear Training And University-based Research (CENTAUR) have a ^* next to their name.

Measurement of the central exclusive production of charged-particle pairs in proton-proton collisions at $\sqrt{s}=200~\mathrm{GeV}$ with the {STAR} detector at {RHIC} and the STAR collaboration (including J. Adam, D. M. Anderson, C. A. Gagliardi, A. Hamed, T. Lin, X. Liu, Y. Liu, S. Mioduszewski, N. R. Sahoo and R. E. Tribble), Journal of High Energy Physics 2020, 178 (2020)

pub id: 1077 [DOI] [URL]

Abnormal flow of $\alpha$ particles in heavy-ion collisions at intermediate energies, G. Qu, Y. Huang, D. Peng, Z. Xu, W. Lin, H. Zheng, G. Tian, R. Han, C. Ma, M. Huang, P. Ren, J. Han, Z. Yang, X. Liu and R. Wada, Phys. Rev. C 103, 044607 (2021)

pub id: 1109 [DOI] [URL]

Experimental reconstruction of excitation energies of primary hot isotopes in heavy ion collisions near the Fermi energy, M. R. D. Rodrigues, W. Lin, X. Liu, M. Huang, S. Zhang, Z. Chen, J. Wang, R. Wada, S. Kowalski, T. Keutgen, K. Hagel, M. Barbui, C. Bottosso, A. Bonasera, J. B. Natowitz, T. Materna, L. Qin, P. K. Sahu and K. J. Schmidt, Phys. Rev. C 88, 034605 (2013)

pub id: 72 [DOI] [URL]

Reaction dynamics and in-medium nucleon-nucleon cross section with $^{12}\mathrm{C}+^{1}\mathrm{H}$ at 95~MeV/nucleon, G. Tian, Z. Chen, R. Wada, X. Liu, W. Lin, M. Huang, H. Zheng, Q. Hu, R. Han, F. Shi, X. Zhang, B. Liu and H. Sun, Phys. Rev. C 107, 044602 (2023)

CI is in author affiliation AND funding! :)

pub id: 1317 [DOI] [URL]

Nuclear stopping and light charged particle emission in $^{12}\mathrm{C}+^{12}\mathrm{C}$ at 95 MeV/nucleon, G. Tian, R. Wada, Z. Chen, R. Han, W. Lin, X. Liu, P. Ren, F. Shi, F. Luo, Q. Sun, L. Song and G. Q. Xiao, Phys. Rev. C 95, 044613 (2017)

pub id: 668 [DOI] [URL]

Development of a forward calorimeter system for the STAR experiment, O. D. Tsai, E. Aschenauer, W. Christie, L. E. Dunkelberger, S. Fazio, C. A. Gagliardi, S. Heppelmann, H. Z. Huang, W. W. Jacobs, G. Igo, A. Kisilev, K. Landry, X. Liu, M. M. Mondal, Y. X. Pan, M. Sergeeva, N. Shah, E. Sichtermann, S. Trentalange, G. Visser and S. Wissink, in: 16th International Conference on Calorimetry in High Energy Physics (CALOR 2014), Journal of Physics: Conference Series 587, Giessen, Germany, pages 012053, 2015

pub id: 282 [DOI] [URL]

High and low energy nucleon productions in intermediate heavy ion collisions, R. Wada, Q. Hu, G. Tian, W. Lin, Z. Chen, R. Han, X. Liu, M. Huang and H. Zheng, in: IWM-EC2021, Il Nuovo Cimento C 45, Ganil, France, pages Jun, SIF, 2022

pub id: 1245 [DOI] [URL]

Experimental liquid-gas phase transition signals and reaction dynamics, R. Wada, W. Lin, P. Ren, H. Zheng, X. Liu, M. Huang, K. Yang and K. Hagel, Phys. Rev. C 99, 024616 (2019)

pub id: 879 [DOI] [URL]

Shape analysis applied in heavy ion reactions near Fermi energy, S. Zhang, M. Huang, R. Wada, X. Liu, W. Lin and J. Wang, Journal of Physics G: Nuclear and Particle Physics 44, 035101 (2017)

pub id: 597 [DOI] [URL]

Average neutron detection efficiency for DEMON detectors, S. Zhang, W. Lin, M. R. D. Rodrigues, M. Huang, R. Wada, X. Liu, M. Zhao, Z. Jin, Z. Chen, T. Keutgen, S. Kowalski, K. Hagel, M. Barbui, A. Bonasera, C. Bottosso, T. Materna, J. B. Natowitz, L. Qin, P. K. Sahu, K. J. Schmidt and J. Wang, Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 709, 68-71 (2013)

pub id: 376 [DOI] [URL]

Investigation of the difference in charge radii of mirror pairs with deep Bayesian neural networks, X. Zhang, H. He, G. Qu, X. Liu, H. Zheng, W. Lin, J. Han, P. Ren and R. Wada, Physical Review C 110, 014316 (2024)

CI *IS* in author affiliation, though not funding

pub id: 1396 [DOI]

Determining impact parameters of heavy-ion collisions at low-intermediate incident energies using deep learning with convolutional neural networks, X. Zhang, X. Liu, Y. Huang, W. Lin, H. Zheng, R. Wada, A. Bonasera, Z. Chen, L. Chen, J. Han, R. Han, M. Huang, Q. Hu, Q. Leng, C. W. Ma, G. Qu, P. Ren, G. Tian, Z. Xu, Z. Yang and L. Zhang, Phys. Rev. C 105, 034611 (2022)

pub id: 1214 [DOI] [URL]

| 1-100 | 101-112 |

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