Minglang Yin

1. Physics-informed neural networks (PINNs) for fluid mechanics: A review
   2021/05/20 by Shengze Cai, Cai, Shengze, Zhiping Mao +7 · 91 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
2. Physics-informed neural networks (PINNs) for fluid mechanics: a review
   2021/12/01 by Shengze Cai, Zhiping Mao, Zhicheng Wang +2 · 74 citations
   Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Model Reduction and Neural Networks
3. Non-invasive inference of thrombus material properties with physics-informed neural networks
   2020/12/22 by Minglang Yin, Xiaoning Zheng, Jay D. Humphrey +1 · 4 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Fluid Dynamics and Turbulent Flows #Nuclear Engineering Thermal-Hydraulics
4. Physics-Informed Neural Networks for Nonhomogeneous Material Identification in Elasticity Imaging
   2020/09/02 by Enrui Zhang, Zhang, Enrui, Minglang Yin +3 · 2 citations
   Earth and Planetary Sciences · Engineering · Physics and Astronomy · #Elasticity and Material Modeling #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Seismic Imaging and Inversion Techniques #Soft Condensed Matter (cond-mat.soft) #electronic engineering #information engineering
5. Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy
   2024/12/20 by Avisha Kumar, Xuzhe Zhi, Kumar, Avisha +7 · 1 citation
   Engineering · #Medical Imaging and Analysis