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Paris Perdikaris
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Journal Articles

Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy Disorders

Georgios Kissas, Eileen Hwuang, Elizabeth W. Thompson, Nadav Schwartz, John A. Detre, Walter R. Witschey, Paris Perdikaris
Journal: Journal of Biomechanical Engineering
Publisher: ASME
Article Type: Research-Article
J Biomech Eng. December 2022, 144(12): 121011.
Paper No: BIO-22-1060
https://doi.org/10.1115/1.4055679
Published Online: October 28, 2022
View Article titled, Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy Disorders
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Topics: Aorta, Flow (Dynamics), Magnetic resonance imaging, Pressure, Vessels, Waves, Geometry, Algorithms
Journal Articles

Physics-Informed Neural Networks for Heat Transfer Problems

Shengze Cai, Zhicheng Wang, Sifan Wang, Paris Perdikaris, George Em Karniadakis
Journal: ASME Journal of Heat and Mass Transfer
Publisher: ASME
Article Type: Review Articles
J. Heat Mass Transfer. June 2021, 143(6): 060801.
Paper No: HT-21-1083
https://doi.org/10.1115/1.4050542
Published Online: April 21, 2021
View Article titled, Physics-Informed Neural Networks for Heat Transfer Problems
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Topics: Artificial neural networks, Boundary-value problems, Cylinders, Errors, Flow (Dynamics), Forced convection, Heat transfer, Physics, Temperature, Sensors
Journal Articles

Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration

Soumalya Sarkar, Sudeepta Mondal, Michael Joly, Matthew E. Lynch, Shaunak D. Bopardikar, Ranadip Acharya, Paris Perdikaris
Journal: Journal of Mechanical Design
Publisher: ASME
Article Type: Research Papers
J. Mech. Des. December 2019, 141(12): 121001.
Paper No: MD-19-1167
https://doi.org/10.1115/1.4044598
Published Online: September 30, 2019
View Article titled, Multifidelity and Multiscale Bayesian Framework for High-Dimensional Engineering Design and Calibration
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Topics: Calibration, Optimization, Design