MS014A Accelerating scientific discovery for dynamical systems with physics-informed machine learning I
MS Corresponding Organizer:
Dr.
Romit Maulik
(
Argonne National Laboratory
, United States
)
Scheduled presentations:
-
Integrating Curriculum Learning into hybrid modeling for improved predictive maintenance
-
An Ontological Description of Physics-Enhanced Machine Learning
-
Temporal Normalizing Flows and The Continuous Perron-Frobenius Operator
-
Inverse identification of dynamically important regions in turbulent flows using 3D Convolutional Neural Networks
