HIM2026 : Heavy-ion Collisions in the AI era

- Heavy-ion collisions and simulations

Over the past three decades, significant and sustained efforts have been devoted to the study of relativistic heavy-ion collisions, both theoretically and experimentally. These endeavors aim to elucidate the properties of QCD matter at high densities and temperatures. Numerous experimental results have been obtained from dedicated programs at the Super Proton Synchrotron (SPS) at CERN, the Relativistic Heavy Ion Collider (RHIC) at Brookhaven National Laboratory, and more recently at the Large Hadron Collider (LHC) at CERN. These experiments have provided compelling evidence for the existence of deconfined quark–gluon matter and have offered important insights into its physical properties.

Recently, RAON in Korea has begun scientific operations with a focus on nuclear physics. We anticipate that RAON-related research will become an important addition to the Korean heavy-ion physics community.

Artificial intelligence has recently been applied to both experimental and theoretical studies of heavy-ion collisions. In particular, simulations and deep learning techniques have emerged as powerful tools for investigating these systems.