J. Tao

activity

20222026

most citedNumber-of-constituent-quark scaling of elliptic flow: a quantitative study

28 citations · 28 across the 5 of their papers we have counts for

collaborators

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3 papers · 1 filter

nucl-th2026

Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions

Jun-Qi Tao, Yang Liu, Yu Sha +5

The deformation of heavy nuclei leaves characteristic imprints on the initial conditions of relativistic heavy-ion collisions. However, event-by-event fluctuations make the quantit…

nucl-th2025

Initial spin fluctuations as a probe of cluster spin structure in $^{16} O$ and $^{20} Ne$ nuclei

Xiang Fan, Jun-Qi Tao, Ze-Fang Jiang +1

We investigate the imprint of $α$ clustering on initial spin fluctuations in relativistic $^{16} O +^{16} O$ and $^{20} Ne +^{20} Ne$ collisions a…

nucl-th2025

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC

Jun-Qi Tao, Xiang Fan, Yang Liu +4

We develop a neural network model, based on the processes of high-energy heavy-ion collisions, to study and predict several experimental observables in Au+Au collisions. We present…

Deep learning approaches to extract nuclear deformation parameters from initial-state information in heavy-ion collisions

Initial spin fluctuations as a probe of cluster spin structure in 16O and 20Ne nuclei

A deep learning approach for predicting multiple observables in Au+Au collisions at RHIC

Initial spin fluctuations as a probe of cluster spin structure in $^{16} O$ and $^{20} Ne$ nuclei