Hanwen Wang

1. Learning the solution operator of parametric partial differential equations with physics-informed DeepOnets
   2021/03/19 by Sifan Wang, Hanwen Wang, Wang, Sifan +3 · 71 citations
   Engineering · Materials Science · Physics and Astronomy · #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Magnetic Properties and Applications #Model Reduction and Neural Networks #Numerical Analysis (math.NA)
2. On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks
   2021/06/02 by Sifan Wang, Hanwen Wang, Paris Perdikaris · 66 citations
   Computer Science · Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Image and Signal Denoising Methods #Model Reduction and Neural Networks
3. Learning the solution operator of parametric partial differential equations with physics-informed DeepONets
   2021/09/29 by Sifan Wang, Hanwen Wang, Paris Perdikaris · 49 citations
   Engineering · Physics and Astronomy · #Fluid Dynamics and Turbulent Flows #Heat Transfer and Optimization #Model Reduction and Neural Networks
4. An Expert's Guide to Training Physics-informed Neural Networks
   2023/08/16 by Sifan Wang, Wang, Sifan, Shyam Sankaran +5 · 25 citations
   Physics and Astronomy · Engineering · #Model Reduction and Neural Networks #Nuclear Engineering Thermal-Hydraulics #Nuclear reactor physics and engineering
5. Improved architectures and training algorithms for deep operator networks
   2021/10/04 by Sifan Wang, Wang, Sifan, Hanwen Wang +3 · 7 citations
   Engineering · Mathematics · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Electromagnetic Simulation and Numerical Methods #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Numerical methods in inverse problems
6. CViT: Continuous Vision Transformer for Operator Learning
   2024/05/22 by Sifan Wang, Wang, Sifan, Jacob H. Seidman +9 · 12 citations
   Computer Science · #Neural Networks and Applications
7. Random Weight Factorization Improves the Training of Continuous Neural Representations
   2022/10/03 by Sifan Wang, Hanwen Wang, Wang, Sifan +5 · 1 citation
   Computer Science · Physics and Astronomy · #Neural Networks and Applications #Medical Image Segmentation Techniques #Model Reduction and Neural Networks
8. A Human-Machine Joint Learning Framework to Boost Endogenous BCI Training
   2023/08/25 by Hanwen Wang, Yu Qi, Wang, Hanwen +9 · 1 citation
   Engineering · Neuroscience · #Advanced Memory and Neural Computing #Artificial Intelligence (cs.AI) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Neuroscience and Neural Engineering
9. Final assessment of radioactive impurities in the JUNO detector
   2026/07/20 by Thomas Adam, Fengpeng An, Costas Andreopoulos +569
   #physics.ins-det #hep-ex