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Hamidreza Eivazi

DiffBatt: A Diffusion Model for Battery Degradation Prediction and Synthesis

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Oct 31, 2024
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Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks

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May 22, 2024
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Nonlinear model reduction for operator learning

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Mar 27, 2024
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Physics-Informed Transfer Learning Strategy to Accelerate Unsteady Fluid Flow Simulations

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Jun 14, 2022
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Physics-informed deep-learning applications to experimental fluid mechanics

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Mar 29, 2022
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Predicting the temporal dynamics of turbulent channels through deep learning

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Mar 02, 2022
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Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows

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Sep 03, 2021
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Physics-informed neural networks for solving Reynolds-averaged Navier$\unicode{x2013}$Stokes equations

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Jul 22, 2021
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Deep Neural Networks for Nonlinear Model Order Reduction of Unsteady Flows

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Jul 03, 2020
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Recurrent neural networks and Koopman-based frameworks for temporal predictions in turbulence

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May 01, 2020
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