Shaowu Pan

1. Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
   2019/11/21 by Luning Sun, Han Gao, Shaowu Pan +2 · 38 citations
   Physics and Astronomy · Decision Sciences · Engineering · #Model Reduction and Neural Networks #Probabilistic and Robust Engineering Design #Fluid Dynamics and Vibration Analysis
2. PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
   2023/06/22 by Shaowu Pan, Eurika Kaiser, Pan, Shaowu +7 · 4 citations
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #FOS: Physical sciences #Fluid Dynamics and Turbulent Flows #Fluid Dynamics and Vibration Analysis #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Systems and Control (eess.SY) #electronic engineering #information engineering
3. Grad-Shafranov equilibria via data-free physics informed neural networks
   2023/11/22 by Byoungchan Jang, Alan A. Kaptanoglu, Jang, Byoungchan +9 · 2 citations
   Engineering · Physics and Astronomy · #Computational Physics (physics.comp-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Magnetic confinement fusion research #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Plasma Physics (physics.plasm-ph)
4. Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning
   2019/09/16 by Qi Gao, Shaowu Pan, Gao, Qi +7 · 1 citation
   Computer Science · Engineering · Physics and Astronomy · #Electrical and Bioimpedance Tomography #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Fluid Dynamics (physics.flu-dyn) #Gaussian Processes and Bayesian Inference #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Model Reduction and Neural Networks #electronic engineering #information engineering
5. Foam-Agent: Towards Automated Intelligent CFD Workflows
   2025/05/08 by Ling Yue, Nithin Somasekharan, Yue, Ling +8 · 6 citations
   Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Lattice Boltzmann Simulation Studies #Multiagent Systems (cs.MA) #Scientific Computing and Data Management #Topic Modeling
6. On the lifting and reconstruction of nonlinear systems with multiple invariant sets
   2023/04/24 by Shaowu Pan, Pan, Shaowu, Karthik Duraisamy +1 · 1 citation
   Computer Science · Mathematics · Physics and Astronomy · #37M10 #37M25 #47B33 #62F15 #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Fusion and Plasma Physics Studies #Machine Learning (cs.LG) #Mathematical Biology Tumor Growth #Nonlinear Dynamics and Pattern Formation
7. CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics
   2025/09/19 by Nithin Somasekharan, Somasekharan, Nithin, Ling Yue +15 · 2 citations
   Computer Science · #Topic Modeling
8. MD-PNOP: Equation-Recast Neural Operators for Minimal-Data Extrapolation and PDE Solver Acceleration
   2025/09/01 by Qiyun Cheng, Cheng, Qiyun, Md. Hossain Sahadath +7 · 1 citation
   Physics and Astronomy · Engineering · Materials Science · #Model Reduction and Neural Networks #Nuclear reactor physics and engineering #Machine Learning in Materials Science