Modeling Methods II: Speed-up, Stabilization, and Super-Resolution

Presentations

• Implicit Neural Solver for Stable Surrogate Simulation of Fluid Dynamics

  ORAL

  Nov. 21, 2023, 8:00 AM – Nov. 21, 2023, 8:13 AM

  Presenters

  • Deepak Akhare

    • University of Notre Dame

  Authors

  • Deepak Akhare

    • University of Notre Dame

  • Pan Du

    • University of Notre Dame

  • Tengfei Luo

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

  View abstract →

• Machine-aided initial guesses for unstable periodic orbits

  ORAL

  Nov. 21, 2023, 8:13 AM – Nov. 21, 2023, 8:26 AM

  Presenters

  • Pierre Beck

    • Ecole Polytechnique Fédérale de Lausanne

  Authors

  • Pierre Beck

    • Ecole Polytechnique Fédérale de Lausanne

  • Jeremy P Parker

    • Ecole Polytechnique Federale de Lausanne

  • Tobias M Schneider

    • Ecole Polytechnique Federale de Lausanne

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• Eigen analysis of neural autoregressive models of multi-scale chaotic systems: Stability and error propagation

  ORAL

  Nov. 21, 2023, 8:26 AM – Nov. 21, 2023, 8:39 AM

  Publication: Ashesh Chattopadhyay and Pedram Hassanzadeh, Long-term instabilities of deep learning-based digital twins of the climate system: The cause and a solution, arXiv:2304.07029v1

  Presenters

  • Ashesh K Chattopadhyay

    • University of California, Santa Cruz

  Authors

  • Ashesh K Chattopadhyay

    • University of California, Santa Cruz

  • Pedram Hassanzadeh

    • Rice University

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• Harnessing the power of natural language processing techniques for multiscale turbulence simulation

  ORAL

  Nov. 21, 2023, 8:39 AM – Nov. 21, 2023, 8:52 AM

  Publication: https://arxiv.org/abs/2305.16564

  Presenters

  • Mrigank Dhingra

    • Virginia Tech

  Authors

  • Mrigank Dhingra

    • Virginia Tech

  • Omer San

    • Oklahoma State University Stillwater

  • Anne E Staples

    • Virginia Tech

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• Abstract Withdrawn

  ORAL · Withdrawn

  Nov. 21, 2023, 8:52 AM – Nov. 21, 2023, 9:05 AM

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• MuRFiV-Net: A Multi-Resolution Finite-Volume Inspired Neural Network for Predicting Spatiotemporal Dynamics

  ORAL

  Nov. 21, 2023, 9:05 AM – Nov. 21, 2023, 9:18 AM

  Presenters

  • Xin-yang Liu

    • University of Notre Dame

  Authors

  • Xin-yang Liu

    • University of Notre Dame

  • Xiantao Fan

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

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• Non-Intrusive Reduced Order Models with Neural PDEs: The Interpretability Challenge

  ORAL

  Nov. 21, 2023, 9:18 AM – Nov. 21, 2023, 9:31 AM

  Presenters

  • Arvind T Mohan

    • Los Alamos National Laboratory

  Authors

  • Arvind T Mohan

    • Los Alamos National Laboratory

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• Particle Dispersion in Indoor Environments: Can Super-resolution Autoencoders Revolutionize Air Quality Predictions?

  ORAL

  Nov. 21, 2023, 9:31 AM – Nov. 21, 2023, 9:44 AM

  Publication: 1. https://doi.org/10.1007/s11356-022-21579-y
  2. https://doi.org/10.1016/j.buildenv.2022.109489
  3. https://doi.org/10.1016/j.enbuild.2023.112810
  4. https://doi.org/10.1016/j.buildenv.2023.110048
  5. https://doi.org/10.1080/19401493.2020.1812722

  Presenters

  • Adib Bazgir

    • University of Missouri

  Authors

  • Adib Bazgir

    • University of Missouri

  • Hong Y Kek

    • Universiti Teknologi Malaysia

  • Huiyi Tan

    • Universiti Teknologi Malaysia

  • Yuwen Zhang

    • University of Missouri

  • Keng Y Wong

    • Universiti Teknologi Malaysia

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• Data-driven symmetry-aware low-dimensional models for predicting turbulent fluid flows

  ORAL

  Nov. 21, 2023, 9:44 AM – Nov. 21, 2023, 9:57 AM

  Presenters

  • Carlos E Perez De Jesus

    • University of Wisconsin - Madison

  Authors

  • Carlos E Perez De Jesus

    • University of Wisconsin - Madison

  • Alec Linot

    • University of California, Los Angeles

  • Michael D Graham

    • University of Wisconsin - Madison

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• Taylor series error correction network for super-resolution of discretized fluid solutions

  ORAL

  Nov. 21, 2023, 9:57 AM – Nov. 21, 2023, 10:10 AM

  Publication: [1] L E ̧ca, M Hoekstra, JF Beja Pedro, and JAC Falcao de Campos. On the characterization of grid density in grid refinement studies for discretization error estimation. International Journal for Numerical Methods in Fluids, 72(1):119–134, 201

  Presenters

  • Wenzhuo Xu

    • Carnegie Mellon University

  Authors

  • Wenzhuo Xu

    • Carnegie Mellon University

  • Christopher McComb

    • Carnegie Mellon University

  • Noelia Grande Gutiérrez

    • Carnegie Mellon University

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• A Differentiable Hybrid Neural Solver for Efficient Simulation of Cavitating Flows

  ORAL

  Nov. 21, 2023, 10:10 AM – Nov. 21, 2023, 10:23 AM

  Presenters

  • Bo Zhang

    • University of Notre Dame

  Authors

  • Bo Zhang

    • University of Notre Dame

  • Xiantao Fan

    • University of Notre Dame

  • Jian-Xun Wang

    • University of Notre Dame

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• Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state fluid flow simulations

  ORAL

  Nov. 21, 2023, 10:23 AM – Nov. 21, 2023, 10:36 AM

  Presenters

  • Xuhui Zhou

    • Virginia Tech

  Authors

  • Xuhui Zhou

    • Virginia Tech

  • Jiequn Han

    • Flatiron Institute

  • Muhammad Irfan Zafar

    • Virginia Tech

  • Christopher Roy

    • virginia tech

  • Heng Xiao

    • University of Stuttgart

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