Shaowu Pan

Refereed Publications

Underlined names are my students. ^† means equal contributions.

MD-PNOP: Equation-Recast Neural Operators for Minimal-Data Extrapolation and PDE Solver Acceleration
Qiyun Cheng, Md Hossain Sahadath, Huihua Yang, Shaowu Pan, Wei Ji

Journal of Computational Physics (2026)

[Paper]
CFDLLMBench: A Benchmark Suite for Evaluating Large Language Models in Computational Fluid Dynamics
Nithin Somasekharan, Ling Yue, Yadi Cao, Weichao Li, Patrick Emami, P. Sai Bhargav, Anurag Acharya, Xingyu Xie, Shaowu Pan

Data-centric Machine Learning Research (2026)

[Paper] [Code]
Characterization of DeepONet Performance for Neutron Transport Modeling
Md Hossain Sahadath, Qiyun Cheng, Shaowu Pan, Wei Ji

Nuclear Science and Engineering (2026)

[Paper]
FoamGPT: A Fine-Tuned Language Model for Automation of CFD Simulations with OpenFOAM
Ling Yue, Peijing Xu, Tingwen Zhang, Nithin Somasekharan, Shaowu Pan

NeurIPS Workshop ML4PS (2025)

[Paper] [Code]
Foam-Agent: Towards Automated Intelligent CFD Workflows
Ling Yue, Nithin Somasekharan, Yadi Cao, Shaowu Pan

NeurIPS Workshop ML4PS (2025)

[Paper] [Code]
Code2MCP: Transforming Code Repositories into MCP Services
Chaoqian Ouyang^†, Ling Yue^†, Shimin Di, Libin Zheng, Linan Yue, Shaowu Pan, Jian Yin, Min-Ling Zhang

NeurIPS Workshop SEA (2025)

[Paper] [Code]
UniFoil: A Universal Dataset of Airfoils in Transitional and Turbulent Regimes for Subsonic and Transonic Flows
Rohit Sunil Kanchi, Benjamin Melanson, Nithin Somasekharan, Shaowu Pan, Sicheng He

NeurIPS (2025)

[Paper] [Code]
Learning Noise-Robust Stable Koopman Operator for Control With Hankel DMD
Shahriar Akbar Sakib, Shaowu Pan

IEEE Transactions on Control Systems Technology (2025)

[Paper] [Code]
Beyond the Kolmogorov Barrier: A Learnable Weighted Hybrid Autoencoder for Model Order Reduction
Nithin Somasekharan, Shaowu Pan

Proceedings of the Royal Society A (2025)

[Paper] [Code]
Surrogate modeling of heat transfer under flow fluctuation conditions using Fourier Basis-Deep Operator Network with uncertainty quantification
Qiyun Cheng, Md Hossain Sahadath, Huihua Yang, Shaowu Pan, Wei Ji

Progress in Nuclear Energy (2025)

[Paper]
On the lifting and reconstruction of nonlinear systems with multiple invariant sets
Shaowu Pan, Karthik Duraisamy

Nonlinear Dynamics (2024)

[Paper] [Code]
Grad–Shafranov equilibria via data-free physics informed neural networks
Byoungchan Jang, Alan A. Kaptanoglu, Rahul Gaur, Shaowu Pan, Matt Landreman, William Dorland

Physics of Plasmas (2024)

[Paper]
PyKoopman: A Python Package for Data-Driven Approximation of the Koopman Operator
Shaowu Pan, Eurika Kaiser, Brian M. de Silva, Nathan Kutz, Steven L. Brunton

Journal of Open Source Software (2024)

[Paper] [Code]
Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data
Shaowu Pan, Steven Brunton, Nathan Kutz

Journal of Machine Learning Research (2023)

[Paper] [Code] [Project Page]
Particle reconstruction of volumetric particle image velocimetry with strategy of machine learning
Qi Gao, Shaowu Pan, Hongping Wang, Runjie Wei, and Jinjun Wang

Advances in Aerodynamics (2021)

[Paper]
Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics
Weiqi Ji, Weilun Qiu, Zhiyu Shi, Shaowu Pan, and Sili Deng

Journal of Physical Chemistry A (2021)

[Paper]
Sparsity-promoting algorithms for the discovery of informative Koopman invariant subspaces
Shaowu Pan, Nicholas Arnold-Medabalimi, and Karthik Duraisamy

Journal of Fluid Mechanics (2021)

[Paper] [Code]
On the Structure of Time-delay Embedding in Linear Models of Non-linear Dynamical Systems
Shaowu Pan, and Karthik Duraisamy

Chaos: An Interdisciplinary Journal of Nonlinear Science (2020)

[Paper]
Physics-Informed Probabilistic Learning of Linear Embeddings of Non-linear Dynamics With Guaranteed Stability
Shaowu Pan, and Karthik Duraisamy

SIAM Journal on Applied Dynamical Systems (2020)

[Paper] [Code]
Surrogate Modeling for Fluid Flows Based on Physics-Constrained Deep Learning Without Simulation Data
Luning Sun, Han Gao, Shaowu Pan, and Jian-Xun Wang

Computer Methods in Applied Mechanics and Engineering (2020)

[Paper]
Prediction of Aerodynamic Flow Fields Using Convolutional Neural Networks
Saakaar Bhatnagar, Yaser Afshar, Shaowu Pan, Karthik Duraisamy, and Shailendra Kaushik

Computational Mechanics (2019)

[Paper]
Long-time predictive modeling of nonlinear dynamical systems using neural networks
Shaowu Pan, and Karthik Duraisamy

Complexity (2018) (invited)

[Paper]
Data-driven Discovery of Closure Models
Shaowu Pan, and Karthik Duraisamy

SIAM Journal on Applied Dynamical Systems (2018)

[Paper] [Code]
The role of bulk viscosity on the decay of compressible, homogeneous, isotropic turbulence
Shaowu Pan, and Eric Johnsen

Journal of Fluid Mechanics (2017)

[Paper]
Combustion Heat-Release Effects on Supersonic Compressible Turbulent Boundary Layers
Zhenxun Gao, Chongwen Jiang, Shaowu Pan, and Chun-Hian Lee

AIAA Journal (2015)

[Paper]
Numerical investigation of rarefaction effects in the vicinity of a sharp leading edge
Shaowu Pan, Zhenxun Gao, and Chunhian Lee

AIP Conference Proceedings (2014)

[Paper]
Characterizing and improving predictive accuracy in shock-turbulent boundary layer interactions using data-driven models
Anand Pratap Singh, Shaowu Pan, and Karthik Duraisamy

55th AIAA Aerospace Sciences Meeting (2017)

[Paper]
Augmentation of turbulence models using field inversion and machine learning
Karthik Duraisamy, Anand Pratap Singh, and Shaowu Pan

55th AIAA Aerospace Sciences Meeting (2017)

[Paper]
An extended CFD model to predict the pumping curve in low pressure plasma etch chamber
Ning Zhou, Yuanhao Wu, Wenbin Han, and Shaowu Pan

AIP Conference Proceedings (2014)

[Paper]

pans2@rpi.edu

Rensselaer Polytechnic Institute

Office: JEC-2032