An equation-of-state-meter of quantum chromodynamics transition from deep learning von Pang, Long-Gang, Zhou, Kai, Su, Nan, Petersen, Hannah, Stöcker, Horst, Wang, Xin-Nian

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Pseudorapidity distribution and decorrelation of anisotropic flow within the open-computing-language implementation CLVisc hydrodynamics von Pang, Long-Gang, Petersen, Hannah, Wang, Xin-Nian

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A machine learning study to identify spinodal clumping in high energy nuclear collisions von Steinheimer, Jan, Pang, Long-Gang, Zhou, Kai, Koch, Volker, Randrup, Jørgen, Stoecker, Horst

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Global Λ polarization in heavy-ion collisions from a transport model von Li, Hui, Pang, Long-Gang, Wang, Qun, Xia, Xiao-Liang

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miR156‐SPL9‐DFR pathway coordinates the relationship between development and abiotic stress tolerance in plants von Cui, Long‐Gang, Shan, Jun‐Xiang, Shi, Min, Gao, Ji‐Ping, Lin, Hong‐Xuan

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Exploring QCD matter in extreme conditions with Machine Learning von Zhou, Kai, Wang, Lingxiao, Pang, Long-Gang, Shi, Shuzhe

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Vortical Fluid and Λ Spin Correlations in High-Energy Heavy-Ion Collisions von Pang, Long-Gang, Petersen, Hannah, Wang, Qun, Wang, Xin-Nian

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Phase Transition Study Meets Machine Learning von Ma, Yu-Gang, Pang, Long-Gang, Wang, Rui, Zhou, Kai

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Mechanical and crack evolution characteristics of coal–rock under different fracture-hole conditions: a numerical study based on particle flow code von Wang, Xiao, Tian, Long-gang

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Identifying the nature of the QCD transition in relativistic collision of heavy nuclei with deep learning von Du, Yi-Lun, Zhou, Kai, Steinheimer, Jan, Pang, Long-Gang, Motornenko, Anton, Zong, Hong-Shi, Wang, Xin-Nian, Stöcker, Horst

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Effects of jet-induced medium excitation in γ-hadron correlation in A+A collisions von Chen, Wei, Cao, Shanshan, Luo, Tan, Pang, Long-Gang, Wang, Xin-Nian

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Microscopic study of deuteron production in PbPb collisions at s = 2.76 TeV via hydrodynamics and a hadronic afterburner von Oliinychenko, Dmytro, Pang, Long-Gang, Elfner, Hannah, Koch, Volker

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Polarization of massive fermions in a vortical fluid von Fang, Ren-hong, Pang, Long-gang, Wang, Qun, Wang, Xin-nian

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High-energy nuclear physics meets machine learning von He, Wan-Bing, Ma, Yu-Gang, Pang, Long-Gang, Song, Hui-Chao, Zhou, Kai

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Medium modification of γ-jet fragmentation functions in Pb+Pb collisions at LHC von Chen, Wei, Cao, Shanshan, Luo, Tan, Pang, Long-Gang, Wang, Xin-Nian

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Interplaying mechanisms behind single inclusive jet suppression in heavy-ion collisions von He, Yayun, Cao, Shanshan, Chen, Wei, Luo, Tan, Pang, Long-Gang, Wang, Xin-Nian

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Machine learning for high energy heavy ion collisions von Pang, Long-Gang

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Bayesian Extraction of Jet Energy Loss Distributions in Heavy-Ion Collisions von He, Yayun, Pang, Long-Gang, Wang, Xin-Nian

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Longitudinal fluctuations and decorrelations of anisotropic flows at energies available at the CERN Large Hadron Collider and at the BNL Relativistic Heavy Ion Collider von Wu, Xiang-Yu, Pang, Long-Gang, Qin, Guang-You, Wang, Xin-Nian

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Gradient Tomography of Jet Quenching in Heavy-Ion Collisions von He, Yayun, Pang, Long-Gang, Wang, Xin-Nian

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