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J. Nathan Kutz

Department of Applied Mathematics, University of Washington

From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility

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Mar 11, 2025
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Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder Networks

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Mar 11, 2025
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Coarse graining and reduced order models for plume ejection dynamics

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Mar 06, 2025
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Inverse Design with Dynamic Mode Decomposition

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Feb 13, 2025
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Reservoir computing for system identification and predictive control with limited data

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Oct 23, 2024
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Towards a Reliable Offline Personal AI Assistant for Long Duration Spaceflight

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Oct 21, 2024
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Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems

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Oct 02, 2024
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AI Assistants for Spaceflight Procedures: Combining Generative Pre-Trained Transformer and Retrieval-Augmented Generation on Knowledge Graphs With Augmented Reality Cues

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Sep 21, 2024
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VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification

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May 31, 2024
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Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics

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May 20, 2024
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