Articles Citing

Department of Physics, University of Washington, Seattle, Washington 98195, USA

Department of Applied Mathematics, University of Washington, Seattle, Washington 98195, USA

Department of Aeronautics and Astronautics, University of Washington, Seattle, Washington 98195, USA

Department of Mechanical Engineering, University of Washington, Seattle, Washington 98195, USA

^*Corresponding author: akaptano@uw.edu

Electron neural closure for turbulent magnetosheath simulations: Energy channels

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Data‐Driven Reduced Order Modeling for Warm Rain Microphysics

E. K. de Jong, N. Gunawardena, J. E. Katona, H. Beydoun, D. Ghosh, and P. Caldwell

Journal of Geophysical Research: Machine Learning and Computation 3 e2025JH001103 (2026)

A space–time projection framework for approximate periodic orbit computation

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J. Fluid Mech. 1037 A32 (2026)

Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties

A. Leonid Heide, Shih-Chi Liao, Sergio Castiblanco-Ballesteros, Gustaaf Jacobs, Peter Seiler, and Maziar S. Hemati

J. Fluid Mech. 1036 A63 (2026)

Robust parameter identification of nonlinear frictional systems from noisy response data

Cui Chao, Jian Yang, David T. Branson, and Marian Wiercigroch

International Journal of Non-Linear Mechanics 189 105390 (2026)

Decomposed sparse modal optimization: Interpretable reduced-order modeling of unsteady flows

Hunor Csala and Amirhossein Arzani

International Journal of Heat and Fluid Flow 117 110124 (2026)

Toward Digital Twins for Power-to-X Processes: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor

Luisa Peterson, Ali Forootani, Edgar Ivan Sanchez Medina, Ion Victor Gosea, Kai Sundmacher, and Peter Benner

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Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions

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Data-driven system identification in cancer systems biology: A multiscale modeling approach to melanoma

Chase Christenson, Siva Viknesh, Robert L. Judson-Torres, and Amirhossein Arzani

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Clémence Métayer, Annabelle Ballesta, and Julien Martinelli

Briefings in Bioinformatics 27 bbaf722 (2026)

On the representation of energy-preserving quadratic operators with application to Operator Inference

Leonidas Gkimisis, Igor Pontes Duff, Pawan Goyal, and Peter Benner

Applied Mathematics Letters 173 109761 (2026)

Time-frequency-domain synergistic reconstruction for multi-stable deployable structure under broadband noise interference

Jiawei Qian, Xiuting Sun, Li Cheng, Qian Lv, and Jian Xu

Aerospace Science and Technology 168 111268 (2026)

Sparse identification of parafoil dynamics model for path planning

Zhanxin Cui, Wen Zou, Zhiwei Feng, Qingbin Zhang, and Tao Yang

Aeronaut. j. 130 464 (2026)

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

Siyu Lou, Chengchun Liu, Dongxiao Zhang, Yuntian Chen, and Fanyang Mo

Advanced Science 13 e21200 (2026)

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Priyanshu Pandey, Ankur Nilajkar, and Abinash Panda

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Tomoki Koike and Elizabeth Qian

Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction

Paul Schwerdtner, Prakash Mohan, Aleksandra Pachalieva, Julie Bessac, Daniel O’Malley, and Benjamin Peherstorfer

Proc. R. Soc. A. 481 20240670 (2025)

Extending the trapping theorem to provide local stability guarantees for quadratically nonlinear models

Mai Peng, Alan A. Kaptanoglu, Christopher J. Hansen, Jacob Stevens-Haas, Krithika Manohar, and Steven L. Brunton

Physics of Fluids 37 107115 (2025)

Guaranteed stable quadratic models and their applications in SINDy and operator inference

Pawan Goyal, Igor Pontes Duff, and Peter Benner

Physica D: Nonlinear Phenomena 483 134893 (2025)

Statistical mechanics of dynamical system identification

Andrei A. Klishin, Joseph Bakarji, J. Nathan Kutz, and Krithika Manohar

Phys. Rev. Research 7 033181 (2025)

SINDy-RL for interpretable and efficient model-based reinforcement learning

Nicholas Zolman, Christian Lagemann, Urban Fasel, J. Nathan Kutz, and Steven L. Brunton

Nat Commun 16 10714 (2025)

Atmospheric Chemistry Surrogate Modeling With Sparse Identification of Mass Action Dynamics

Xiaokai Yang, Lin Guo, and Christopher W. Tessum

Journal of Geophysical Research: Machine Learning and Computation 2 e2025JH000731 (2025)

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Articles Citing

Promoting global stability in data-driven models of quadratic nonlinear dynamics

Electron neural closure for turbulent magnetosheath simulations: Energy channels

ADAM-SINDy: An efficient optimization framework for parameterized nonlinear dynamical system identification

User oriented guide of data-driven state-space models for fluid mechanics

Helicopter turboshaft modeling via mixtures of experts

Data‐Driven Reduced Order Modeling for Warm Rain Microphysics

A space–time projection framework for approximate periodic orbit computation

Data-driven nonlinear aerodynamics models with certifiably optimal boundedness properties

Robust parameter identification of nonlinear frictional systems from noisy response data

Decomposed sparse modal optimization: Interpretable reduced-order modeling of unsteady flows

Toward Digital Twins for Power-to-X Processes: Comparing Surrogate Models for a Catalytic CO2 Methanation Reactor

Data-driven discovery and model reduction methods for the atmospheric effects of high altitude emissions

Data-driven system identification in cancer systems biology: A multiscale modeling approach to melanoma

Data-driven discovery of digital twins in biomedical research

On the representation of energy-preserving quadratic operators with application to Operator Inference

Time-frequency-domain synergistic reconstruction for multi-stable deployable structure under broadband noise interference

Sparse identification of parafoil dynamics model for path planning

Unsupervised Hierarchical Symbolic Regression for Interpretable Property Modeling in Complex Multi‐Variable Systems

No title available

No title available

Online learning of quadratic manifolds from streaming data for nonlinear dimensionality reduction and nonlinear model reduction

Extending the trapping theorem to provide local stability guarantees for quadratically nonlinear models

Guaranteed stable quadratic models and their applications in SINDy and operator inference

Statistical mechanics of dynamical system identification

SINDy-RL for interpretable and efficient model-based reinforcement learning

Atmospheric Chemistry Surrogate Modeling With Sparse Identification of Mass Action Dynamics

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