Yin, Minglang

1. Physics-informed neural networks (PINNs) for fluid mechanics: A review
   2021/05/20 by Shengze Cai, Cai, Shengze, Zhiping Mao +7 · 114 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 for Nonhomogeneous Material Identification in Elasticity Imaging
   2020/09/02 by Enrui Zhang, Minglang Yin, Zhang, Enrui +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
3. DIMON: Learning Solution Operators of Partial Differential Equations on a Diffeomorphic Family of Domains
   2024/02/11 by Yin, Minglang, Charon, Nicolas, Brody, Ryan +3 · 3 citations
   #Artificial Intelligence (cs.AI) #Computational Engineering #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #and Science (cs.CE)
4. Diffeomorphic Latent Neural Operators for Data-Efficient Learning of Solutions to Partial Differential Equations
   2024/11/27 by Ahmad, Zan, Chen, Shiyi, Yin, Minglang +4 · 3 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG)
5. Convolutional Deep Operator Networks for Learning Nonlinear Focused Ultrasound Wave Propagation in Heterogeneous Spinal Cord Anatomy
   2024/12/20 by Avisha Kumar, Kumar, Avisha, Xuzhe Zhi +7 · 2 citations
   Engineering · #Medical Imaging and Analysis