Physics-driven learning for inverse problems in quantum chromodynamics
Gert Aarts, Kenji Fukushima, Tetsuo Hatsuda, Andreas Ipp, Shuzhe Shi, Lingxiao Wang, Kai Zhou
Topics & Concepts
Quantum chromodynamicsPhysicsParticle physicsLattice QCDInverse problemStatistical physicsTheoretical physicsArtificial intelligenceMachine learningComputer scienceMathematicsMathematical analysisGamma-ray bursts and supernovaeHigh-Energy Particle Collisions ResearchParticle physics theoretical and experimental studies