Modeling Methods V: Reconstruction, Estimation, and Data Assimilation

Presentations

• Data-Induced Interactions of Sparse Sensors

  ORAL

  Nov. 20, 2023, 8:00 AM – Nov. 20, 2023, 8:13 AM

  Publication: Based on preprint arXiv:2307.11838

  Presenters

  • Andrei A Klishin

    University of Washington

  Authors

  • Andrei A Klishin

    University of Washington

  • Nathan Kutz

    University of Washington, University of Washington, AI Institute for Dynamic Systems

  • Krithika Manohar

    University of Washington

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• Scientific Machine Learning Workflows for Phase-Change Heat Transfer Applications

  ORAL

  Nov. 20, 2023, 8:13 AM – Nov. 20, 2023, 8:26 AM

  Publication: - Hassan, S., Feeney, A., Dhruv, A., Kim, J., Suh, Y., Ryu, J., Won, Y., Chandramowlishwaran, A. (2023), "BubbleML: A multi-<br>physics dataset and benchmarks for machine learning", NeurIPS, 2023 (preprint)<br><br>- Dhruv, A., "BoxKit: A Python library for managing analysis of block-structured simulation datasets", The Journal of Open-Source Software, 2023 (preprint)

  Presenters

  • Akash V Dhruv

    Argonne National Laboratory

  Authors

  • Akash V Dhruv

    Argonne National Laboratory

  • Shakeel Hasan

    University of California, Irvine

  • Arthur Feeney

    University of California, Irvine

  • Aparna Chandramowlishwaran

    University of California, Irvine

  • Anshu Dubey

    Argonne National Laboratory

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• Data-Driven Diffusion Coefficient Estimation in Marine Lakes

  ORAL

  Nov. 20, 2023, 8:26 AM – Nov. 20, 2023, 8:39 AM

  Presenters

  • Alex Ho

    University of California, Merced

  Authors

  • Alex Ho

    University of California, Merced

  • Francois Blanchette

    UC Merced, University of California, Merced

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• Adjoint-accelerated Bayesian Inference

  ORAL

  Nov. 20, 2023, 8:39 AM – Nov. 20, 2023, 8:52 AM

  Publication: https://doi.org/10.1017/jfm.2022.503<br>https://doi.org/10.1016/j.jsv.2022.117096<br>

  Presenters

  • Matthew P Juniper

    Univ of Cambridge

  Authors

  • Matthew P Juniper

    Univ of Cambridge

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• Data assimilation for compressible flows by optimizing a discrete loss (ODIL) with automatic differentiation

  ORAL

  Nov. 20, 2023, 8:52 AM – Nov. 20, 2023, 9:05 AM

  Presenters

  • Petr Karnakov

    Harvard University

  Authors

  • Petr Karnakov

    Harvard University

  • Deniz Bezgin

    Technical University of Munich

  • Aaron Buhendwa

    Technical University of Munich

  • Nikolaus Adams

    Tech Univ Muenchen, Technical University of Munich

  • Petros Koumoutsakos

    Harvard University

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• Optimizing the Discrete Loss for the Solution for Inverse problems in fluid mechanics: multiresolution and automatic differentiation

  ORAL

  Nov. 20, 2023, 9:05 AM – Nov. 20, 2023, 9:18 AM

  Publication: 1. Petr Karnakov, Sergey Litvinov, Petros Koumoutsakos, "Optimizing a DIscrete Loss (ODIL) to solve forward and inverse problems for partial differential equations using machine learning tools" , arXiv:2205.04611 <br>2. P. Karnakov, S. Litvinov, and P. Koumoutsakos, "Flow reconstruction by multiresolution optimization of a discrete loss with automatic differentiation," The European Physical Journal E, vol. 46, no. 59, 2023.

  Presenters

  • Petros Koumoutsakos

    Harvard University

  Authors

  • Petros Koumoutsakos

    Harvard University

  • Petr Karnakov

    Harvard University

  • Sergey Litvinov

    ETH Zurich

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• Elucidating the 3D topology of a cantilevered square cylinder wake using multi-time-delay estimation with FIR-based SPOD

  ORAL

  Nov. 20, 2023, 9:18 AM – Nov. 20, 2023, 9:31 AM

  Presenters

  • Chris Morton

    McMaster University

  Authors

  • Chris Morton

    McMaster University

  • Ali Mohammadi

    University of Calgary

  • Robert J Martinuzzi

    University of Calgary

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• Real-time digital twins of thermoacoustic instabilities in hydrogen-fuelled annular combustors

  ORAL

  Nov. 20, 2023, 9:31 AM – Nov. 20, 2023, 9:44 AM

  Presenters

  • Andrea Nóvoa

    Univ of Cambridge, Imperial College London

  Authors

  • Andrea Nóvoa

    Univ of Cambridge, Imperial College London

  • Nicolas Noiray

    ETH Zürich, CAPS Laboratory, Department of Mechanical and Process Engineering, ETH Zürich, Zürich 8092, Switzerland

  • James R Dawson

    Univ of Cambridge, Norwegian University of Science & Technology, Norwegian Univ Tech (NTNU), NTNU Trondhaim

  • Luca Magri

    Imperial College London, Alan Turing Institute

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• A Schwarz-type domain decomposition method for physics-constrained neural networks

  ORAL

  Nov. 20, 2023, 9:44 AM – Nov. 20, 2023, 9:57 AM

  Publication: Basir, S., Senocak, I. A Generalized Schwarz-type Non-overlapping Domain Decomposition Method using Physics-constrained Neural Networks, doi: 10.48550/arXiv.2307.12435

  Presenters

  • Inanc Senocak

    University of Pittsburgh

  Authors

  • Inanc Senocak

    University of Pittsburgh

  • shamsulhaq basir

    University of Pittsburgh

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• Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting

  ORAL

  Nov. 20, 2023, 9:57 AM – Nov. 20, 2023, 10:10 AM

  Presenters

  • Jinlong Wu

    University of Wisconsin-Madison, University of Wisconsin - Madison, University of Wisconsin–Madison

  Authors

  • Chuanqi Chen

    University of Wisconsin - Madison

  • Nan Chen

    University of Wisconsin - Madison

  • Jinlong Wu

    University of Wisconsin-Madison, University of Wisconsin - Madison, University of Wisconsin–Madison

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• Data Assimilation of the Minimal Flow Unit

  ORAL

  Nov. 20, 2023, 10:10 AM – Nov. 20, 2023, 10:23 AM

  Presenters

  • Isabel Scherl

    California Institute of Technology

  Authors

  • Isabel Scherl

    California Institute of Technology

  • Eviatar Bach

    California Institute of Technology

  • Tim Colonius

    Caltech, California Institute of Technology

  View abstract →