Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows-Reference-Cited by-同舟云学术

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Performance of Fourier-based activation function in physics-informed neural networks for patient-specific cardiovascular flows

Published:2024-04 Issue: Volume:247 Page:108081
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Aghaee Arman^ORCID,Khan M. Owais^ORCID

Funder

NSERC

Publisher

Elsevier BV

Reference32 articles.

1. Hidden fluid mechanics: learning velocity and pressure fields from flow visualizations;Raissi;Science,2020

2. Physics-informed neural networks (pinns) for fluid mechanics: a review;Cai;Acta Mech. Sin.,2021

3. Uncovering near-wall blood flow from sparse data with physics-informed neural networks;Arzani;Phys. Fluids,2021

4. Modeling of 3d blood flows with physics-informed neural networks: comparison of network architectures;Moser;Fluids,2023

5. Ensemble physics informed neural networks: a framework to improve inverse transport modeling in heterogeneous domains;Aliakbari;Phys. Fluids,2023

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