From the 1 of 15 linked papers with an AI index.
15 papers
A Lawson-inspired Cycle-Closure Criterion for Deuterium--Tritium Muon-Catalyzed Fusion
Wei Kou, Xurong Chen
The paper introduces a Lawson‑inspired criterion to evaluate the cycle‑closure performance of deuterium–tritium muon‑catalyzed fusion, defining an effective cycle strength that lin…
Twisting Small- Gluon Tomography with Orbital Angular Momentum
Wei Kou, Xurong Chen
We propose an orbital-angular-momentum-resolved extension of small- gluon tomography in hard diffractive dijet deep inelastic scattering. In the standard plane-wave setup, the e…
External-Field-Assisted Muon Reactivation in Muon-Catalyzed Fusion: A Rate-Network Criterion for Reducing Alpha Sticking
Wei Kou, Xurong Chen
Alpha sticking is a major loss channel in deuterium--tritium muon-catalyzed fusion. We study whether an additional external-field-assisted stripping channel can reduce the residual…
Muon-Catalyzed Nuclear Fusion: Physical Mechanism, Bottleneck Breakthroughs, and an Engineering Pathway
Xiong Yin, Wei Kou, Xurong Chen
Muon-catalyzed nuclear fusion (\mucf) replaces atomic electrons with negative muons, compressing atomic orbitals by about two orders of magnitude and enabling deuterium--tritium (D…
Extraction of the color dipole amplitude with physics-informed neural networks
Wei Kou, Xurong Chen
The process-independence of the color dipole amplitude is a cornerstone of high-energy Quantum Chromodynamics (QCD). However, standard phenomenological approaches typically rely on…
Probing Proton Structure via Physics-Guided Neural Networks in Holographic QCD
Wei Kou, Xurong Chen
Describing the proton structure function in the non-perturbative and transition regimes of quantum chromodynamics (QCD) remains a significant theoretical challenge. In this w…