Shaowu Pan

Shaowu Pan

University of Washington

H-index: 14

North America-United States

About Shaowu Pan

Shaowu Pan, With an exceptional h-index of 14 and a recent h-index of 14 (since 2020), a distinguished researcher at University of Washington, specializes in the field of Scientific Machine Learning, AI for Science, CFD.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the lifting and reconstruction of nonlinear systems with multiple invariant sets

Grad–Shafranov equilibria via data-free physics informed neural networks

PyKoopman: a python package for data-driven approximation of the Koopman operator

Grad-Shafranov equilibria via data-free physics informed neural networks (PINNs)

Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data

Warp-DG: A Differentiable Discontinuous Galerkin Solver for Compressible Flows

Neural Implicit Compact Representation to Compress Distributed Acoustic Sensing Data

Correction: Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning

Shaowu Pan Information

University

Position

___

Citations(all)

1892

Citations(since 2020)

1853

Cited By

410

hIndex(all)

14

hIndex(since 2020)

14

i10Index(all)

14

i10Index(since 2020)

14

Email

University Profile Page

University of Washington

Google Scholar

View Google Scholar Profile

Shaowu Pan Skills & Research Interests

Scientific Machine Learning

AI for Science

CFD

Top articles of Shaowu Pan

Title

Journal

Author(s)

Publication Date

On the lifting and reconstruction of nonlinear systems with multiple invariant sets

Nonlinear Dynamics

Shaowu Pan

Karthik Duraisamy

2024/4/30

Grad–Shafranov equilibria via data-free physics informed neural networks

Physics of Plasmas

Byoungchan Jang

Alan A. Kaptanoglu

Rahul Gaur

Shaowu Pan

Matt Landreman

...

2024/3/25

PyKoopman: a python package for data-driven approximation of the Koopman operator

arXiv preprint arXiv:2306.12962

Shaowu Pan

Eurika Kaiser

Brian M de Silva

J Nathan Kutz

Steven L Brunton

2023/6/22

Grad-Shafranov equilibria via data-free physics informed neural networks (PINNs)

Physics of Plasmas

Byoungchan Jang

Alan A Kaptanoglu

Rahul Gaur

Shaowu Pan

Matt Landreman

...

2024/3/1

Neural Implicit Flow: a mesh-agnostic dimensionality reduction paradigm of spatio-temporal data

Journal of Machine Learning Research

Shaowu Pan

Steven L Brunton

J Nathan Kutz

2023/1

Warp-DG: A Differentiable Discontinuous Galerkin Solver for Compressible Flows

Bulletin of the American Physical Society

Nithin Somasekharan

Shaowu Pan

2023/11/19

Neural Implicit Compact Representation to Compress Distributed Acoustic Sensing Data

AGU Fall Meeting Abstracts

Yiyu Ni

Shaowu Pan

Nathan Kutz

Bradley Paul Lipovsky

Marine Denolle

2022/12

Correction: Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning

Advances in Aerodynamics

Qi Gao

Shaowu Pan

Hongping Wang

Runjie Wei

Jinjun Wang

2022/12/1

Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning

Advances in Aerodynamics

Qi Gao

Shaowu Pan

Hongping Wang

Runjie Wei

Jinjun Wang

2021/9/23

Robust and interpretable learning for operator-theoretic modeling of non-linear dynamics

Shaowu Pan

2021

Discretization-independent surrogate modeling over complex geometries using hypernetworks and implicit representations

arXiv preprint arXiv:2109.07018

James Duvall

Karthik Duraisamy

Shaowu Pan

2021/9/14

Non-linear independent dual system (NIDS) for discretization-independent surrogate modeling over complex geometries

arXiv preprint arXiv:2109.07018

James Duvall

Karthik Duraisamy

Shaowu Pan

2021/9/14

Stiff-pinn: Physics-informed neural network for stiff chemical kinetics

The Journal of Physical Chemistry A

Weiqi Ji

Weilun Qiu

Zhiyu Shi

Shaowu Pan

Sili Deng

2021/8/31

Sparsity-promoting algorithms for the discovery of informative Koopman-invariant subspaces

Journal of Fluid Mechanics

Shaowu Pan

Nicholas Arnold-Medabalimi

Karthik Duraisamy

2021/6

Implicit Neural Compact Representation of the OOI DAS Data

Yiyu Ni

Shaowu Pan

J Nathan Kutz

Brad Lipovsky

Marine Denolle

2021/11/1

Neural implicit flow: A mesh-agnostic representation paradigm for spatio-temporal fields

APS Division of Fluid Dynamics Meeting Abstracts

Shaowu Pan

Steven Brunton

Nathan Kutz

2021

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

Computer Methods in Applied Mechanics and Engineering

Luning Sun

Han Gao

Shaowu Pan

Jian-Xun Wang

2020/4/1

Physics-informed Autoencoders for Operator-theoretic decomposition and Model reduction of Complex Flows

APS Division of Fluid Dynamics Meeting Abstracts

Karthik Duraisamy

Shaowu Pan

2020

Physics-informed probabilistic learning of linear embeddings of nonlinear dynamics with guaranteed stability

SIAM Journal on Applied Dynamical Systems

Shaowu Pan

Karthik Duraisamy

2020

On the Structure of Time-delay Embedding in Linear Models of Non-linear Dynamical Systems

Chaos: An Interdisciplinary Journal of Nonlinear Science

Shaowu Pan

Karthik Duraisamy

2020

See List of Professors in Shaowu Pan University(University of Washington)

Co-Authors

H-index: 70
Steven L. Brunton

Steven L. Brunton

University of Washington

H-index: 42
Karthik Duraisamy

Karthik Duraisamy

University of Michigan-Dearborn

H-index: 23
Jian-Xun Wang

Jian-Xun Wang

University of Notre Dame

H-index: 22
Sili Deng

Sili Deng

Massachusetts Institute of Technology

H-index: 21
Eurika Kaiser

Eurika Kaiser

University of Washington

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