2 citations · 2 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2024★ 2 cited
Pi-fusion: Physics-informed diffusion model for learning fluid dynamics
Jing Qiu, Jiancheng Huang, Xiangdong Zhang +4
Physics-informed deep learning has been developed as a novel paradigm for learning physical dynamics recently. While general physics-informed deep learning methods have shown early…
physics.soc-ph2023
The 2023 Development of Room-Temperature Ambient-Pressure Superconductor: Vision and Future Trend of Power Systems
Yi Yang, Chenxi Zhang, Xinlei Wang +3
Room-Temperature Ambient-Pressure Superconductor (RTAPS) can achieve superconducting properties at room temperature and normal atmospheric pressure, eliminating the power system's…