4 papers
Physics-Informed Neural Network Approach to Quark-Antiquark Color Flux Tube
Wei Kou, Xiaoxuan Lin, Bing'ang Guo +1
We introduce a physics-informed neural network (PINNs) framework for modelling the spatial distribution of chromodynamic fields induced by quark-antiquark pairs, based on lattice M…
Emergence of Photon Bose-Einstein Condensation from Down-Scattering in Cold Electron Media
Bing'ang Guo, Wei Kou, Xurong Chen
In this study, we examine the emergence of photon Bose-Einstein condensation (BEC) resulting from the interaction of high-energy photons with a cold electron gas, modeled via a mod…
Unveiling the Secrets of Vortex Neutron Decay
Wei Kou, Bing'ang Guo, Xurong Chen
Investigation of decay and scattering processes of particles in a vortex state offers a novel and promising approach for probing particle structure. Our study reveals distinct prop…
Di- Production and Generalized Distribution Amplitudes at Future Electron-Ion Colliders
Bing'ang Guo, Jing Han, Ya-Ping Xie +1
Generalized distribution amplitudes (GDAs) offer valuable insights into the three-dimensional structure of hadrons, delineating the amplitudes associated with the transition from a…