Amirhossein Arzani

Emailamir.arzaninauedu

h-index

Research activity per year

If you made any changes in Pure these will be visible here soon.

Fingerprint

Dive into the research topics where Amirhossein Arzani is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

32 Article
3 Conference contribution
2 Review article
1 Editorial

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation
Arzani, A., Cassel, K. W. & D'Souza, R. M., Jan 15 2023, In: Journal of Computational Physics. 473, 111768.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling
Csala, H., Dawson, S. T. M. & Arzani, A., Nov 1 2022, In: Physics of Fluids. 34, 11, 117119.
Research output: Contribution to journal › Article › peer-review
5 Scopus citations
Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms
Baek, S. & Arzani, A., Jun 2022, In: Applications in Engineering Science. 10, 100097.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations
Guiding the Prostatic Artery Embolization Procedure With Computational Fluid Dynamics
Mahmoudi, M., Jennings, C., Pereira, K., Hall, A. F. & Arzani, A., Nov 1 2022, In: Journal of Biomechanical Engineering. 144, 11, 111004 EN.
Research output: Contribution to journal › Article › peer-review
1 Scopus citations
Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond
Arzani, A., Wang, J. X., Sacks, M. S. & Shadden, S. C., Jun 2022, In: Annals of Biomedical Engineering. 50, 6, p. 615-627 13 p.
Research output: Contribution to journal › Review article › peer-review
8 Scopus citations

Amirhossein Arzani

Fingerprint

Network

Dive into details

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

Comparing different nonlinear dimensionality reduction techniques for data-driven unsteady fluid flow modeling

Current state-of-the-art and utilities of machine learning for detection, monitoring, growth prediction, rupture risk assessment, and post-surgical management of abdominal aortic aneurysms

Guiding the Prostatic Artery Embolization Procedure With Computational Fluid Dynamics

Machine Learning for Cardiovascular Biomechanics Modeling: Challenges and Beyond

Supplementary material from "Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?"

Supplementary material from "Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?"

AAA STL file from Accounting for residence-time in blood rheology models: do we really need non-Newtonian blood flow modelling in large arteries?

Amirhossein Arzani

Fingerprint

Network

Research output

Datasets