Tuesday, November 21, 2023
8:00AM - 8:13AM
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X29.00001: Implicit Neural Solver for Stable Surrogate Simulation of Fluid Dynamics
Deepak Akhare, Pan Du, Tengfei Luo, Jian-Xun Wang
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Tuesday, November 21, 2023
8:13AM - 8:26AM
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X29.00002: Machine-aided initial guesses for unstable periodic orbits
Pierre Beck, Jeremy P Parker, Tobias M Schneider
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Tuesday, November 21, 2023
8:26AM - 8:39AM
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X29.00003: Eigen analysis of neural autoregressive models of multi-scale chaotic systems: Stability and error propagation
Ashesh K Chattopadhyay, Pedram Hassanzadeh
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Tuesday, November 21, 2023
8:39AM - 8:52AM
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X29.00004: Harnessing the power of natural language processing techniques for multiscale turbulence simulation
Mrigank Dhingra, Omer San, Anne E Staples
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Tuesday, November 21, 2023
8:52AM - 9:05AM
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X29.00005: Abstract Withdrawn
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Tuesday, November 21, 2023
9:05AM - 9:18AM
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X29.00006: MuRFiV-Net: A Multi-Resolution Finite-Volume Inspired Neural Network for Predicting Spatiotemporal Dynamics
Xin-yang Liu, Xiantao Fan, Jian-Xun Wang
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Tuesday, November 21, 2023
9:18AM - 9:31AM
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X29.00007: Non-Intrusive Reduced Order Models with Neural PDEs: The Interpretability Challenge
Arvind T Mohan
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Tuesday, November 21, 2023
9:31AM - 9:44AM
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X29.00008: Particle Dispersion in Indoor Environments: Can Super-resolution Autoencoders Revolutionize Air Quality Predictions?
Adib Bazgir, Hong Y Kek, Huiyi Tan, Yuwen Zhang, Keng Y Wong
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Tuesday, November 21, 2023
9:44AM - 9:57AM
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X29.00009: Data-driven symmetry-aware low-dimensional models for predicting turbulent fluid flows
Carlos E Perez De Jesus, Alec Linot, Michael D Graham
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Tuesday, November 21, 2023
9:57AM - 10:10AM
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X29.00010: Taylor series error correction network for super-resolution of discretized fluid solutions
Wenzhuo Xu, Christopher McComb, Noelia Grande GutiƩrrez
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Tuesday, November 21, 2023
10:10AM - 10:23AM
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X29.00011: A Differentiable Hybrid Neural Solver for Efficient Simulation of Cavitating Flows
Bo Zhang, Xiantao Fan, Jian-Xun Wang
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Tuesday, November 21, 2023
10:23AM - 10:36AM
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X29.00012: Neural operator-based super-fidelity: A warm-start approach for accelerating steady-state fluid flow simulations
Xuhui Zhou, Jiequn Han, Muhammad Irfan Zafar, Christopher Roy, Heng Xiao
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