MS014B Accelerating scientific discovery for dynamical systems with physics-informed machine learning II
MS Corresponding Organizer: Dr. Romit Maulik (Argonne National Laboratory)Scheduled presentations:
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ψ − flow: A Novel Physics-Constrained Architecture to Enforce Incompressibility and Boundary Conditions for Fast and Accurate Flow Predictions
M. Cabral*, B. Font, G. Weymouth -
Physics-Informed Neural Network with Turbulent Flow over Fluid Saturated Porous Media
S. Jang*, M. Jadidi, Y. Larimi -
Operator Learning via Neural Networks with Kernel-Weighted Corrective Residuals
R. Bostanabad * -
Data-Driven Structural Health Monitoring of Beam Elements Using Machine Learning Techniques
A. Reza Elahi, A. Cardoni*, R. Tarantini, G. Cimellaro