Author:
Aliakbari Maryam,Mahmoudi Mostafa,Vadasz Peter,Arzani Amirhossein
Funder
National Science Foundation
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics
Reference33 articles.
1. Neural Networks and Deep Learning: A Textbook;Aggarwal,2018
2. Characterization of the transport topology in patient-specific abdominal aortic aneurysm models;Arzani;Phys. Fluids,2012
3. Uncovering near-wall blood flow from sparse data with physics-informed neural networks;Arzani;Phys. Fluids,2021
4. Baker, N., Alexander, F., Bremer, T., Hagberg, A., Kevrekidis, Y., et al., 2019. Workshop report on basic research needs for scientific machine learning: Core technologies for artificial intelligence. Tech. rep., USDOE Office of Science (SC), Washington, DC (United States).
5. Bischof, R., Kraus, M., 2021. Multi-objective loss balancing for physics-informed deep learning. arXiv preprint arXiv:2110.09813.
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