Xinling Yu

1. When and why PINNs fail to train: A neural tangent kernel perspective
   2021/10/12 by Sifan Wang, Xinling Yu, Paris Perdikaris · 182 citations
   Decision Sciences · Engineering · Physics and Astronomy · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Probabilistic and Robust Engineering Design
2. When and why PINNs fail to train: A neural tangent kernel perspective
   2020/07/28 by Sifan Wang, Wang, Sifan, Xinling Yu +3 · 138 citations
   Physics and Astronomy · Computer Science · Engineering · #Model Reduction and Neural Networks #Neural Networks and Applications #Nuclear reactor physics and engineering
3. DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design
   2023/02/25 by Ziyue Liu, Liu, Ziyue, Yixing Li +13 · 5 citations
   Engineering · Physics and Astronomy · #Advancements in Photolithography Techniques #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Heat Transfer and Optimization #Machine Learning (cs.LG) #Model Reduction and Neural Networks
4. PIFON-EPT: MR-Based Electrical Property Tomography Using Physics-Informed Fourier Networks
   2023/02/23 by Xinling Yu, Yu, Xinling, José E. Cruz Serrallés +11 · 2 citations
   Engineering · Medicine · #Advanced MRI Techniques and Applications #Artificial Intelligence (cs.AI) #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #Hemodynamic Monitoring and Therapy #Machine Learning (cs.LG)
5. Real-Time FJ/MAC PDE Solvers via Tensorized, Back-Propagation-Free Optical PINN Training
   2023/12/31 by Yequan Zhao, Zhao, Yequan, Xiao, Xian +12 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Reservoir Computing #Optical Network Technologies #Signal Processing (eess.SP) #electronic engineering #information engineering