Zhiping Mao

1. DeepXDE: A Deep Learning Library for Solving Differential Equations
   2021/01/01 by Lu Lu, Xuhui Meng, Zhiping Mao +1 · 89 citations
   Physics and Astronomy · Decision Sciences · Materials Science · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Magnetic Properties and Applications
2. Physics-informed neural networks (PINNs) for fluid mechanics: A review
   2021/05/20 by Shengze Cai, Cai, Shengze, Zhiping Mao +7 · 79 citations
   Engineering · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Fluid Dynamics and Turbulent Flows #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics
3. Physics-informed neural networks (PINNs) for fluid mechanics: a review
   2021/12/01 by Shengze Cai, Zhiping Mao, Zhicheng Wang +2 · 62 citations
   Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks
4. A Data-Driven Framework for Discovering Fractional Differential Equations in Complex Systems
   2024/12/05 by Xiangnan Yu, Yu, Xiangnan, Hao Xu +11 · 1 citation
   Computer Science · Engineering · #Neural Networks and Applications #Advanced Control Systems Design #Control Systems and Identification