Presentation
Boundary-aware Neural Model Reduction for PDEs
SessionNumerical Geometry a la Mode
DescriptionNeural eigenanalysis enables reduced-order modeling across shape families but is limited to Neumann boundaries. We extend it to Dirichlet, Robin, and mixed conditions by treating boundary configurations as inputs, forming a unified shape–boundary space for consistent spectral analysis and simulation across varying geometries and boundary settings.
Event Type
Technical Paper
TimeMonday, 20 July 20269:00am - 9:10am PDT
LocationRoom 408 B
Digital Library
PDF
Session Time & Location
Sunday, 19 July 20266:00pm - 8:45pm PDTHall K
Monday, 20 July 20269:00am - 10:05am PDTRoom 408 B
Artificial Intelligence/Machine Learning
Simulation
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