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A Transformative Approach for Breast Cancer Detection Using Physics-Informed Neural Network and Surface Temperature Data
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Early detection is the most effective defense against breast cancer. Mammography is a well-established X-ray-based technique that is used for annual or biennial screening of women above age of 40. Since the dense breast ...
Three-Dimensional Numerical Investigation of Bubbles Growing and Merging in Superheated Nucleate Boiling
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: To enhance heat dissipation with boiling flows, simulations of bubble merging need to be examined from a fundamental perspective with a focus on the mechanisms near the interface. The current study develops a model for 3D ...
Physics Informed Deep Neural Net Inverse Modeling for Estimating Model Parameters in Permeable Porous Media Flows
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: We present a method that combines a physics-informed deep neural network and Stokes' second problem to estimate the porosity and the permeability of a porous medium. Particularly, we investigate the accuracy of physics-informed ...
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