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Physics and Astronomy
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General Physics and Astronomy
General Physics and Astronomy
Interdisciplinary research spanning multiple areas of physics and astronomy that bridges traditional boundaries within this field
1 paper in this specialization
Papers
Physics-informed PointNet: A deep learning solver for steady-state incompressible flows and thermal fields on multiple sets of irregular geometries
This paper introduces Physics-Informed PointNet (PIPN), a deep learning solver that predicts fluid flow and thermal fields on multiple sets of irregular geometries. PIPN uses a point-cloud neural network to handle irregular shapes and physics-informed learning to capture the underlying physics, allowing it to be trained on various geometries simultaneously and generalize to unseen shapes from different categories.
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2202.05476.pdf
Jul 14, 05:09 PM
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