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Physics-Informed Neural Networks for Heat Transfer Problems
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Physics-informed neural networks (PINNs) have gained popularity across different engineering fields due to their effectiveness in solving realistic problems with noisy data and often partially missing physics. In PINNs, ...
Feasibility of Vascular Parameter Estimation for Assessing Hypertensive Pregnancy Disorders
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Hypertensive pregnancy disorders (HPDs), such as preeclampsia, are leading sources of both maternal and fetal morbidity in pregnancy. Noninvasive imaging, such as ultrasound (US) and magnetic resonance imaging (MRI), is ...
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