MS059B Bridging scientific machine learning and scientific discovery: Novel developments II
Main Organizer:
Dr.
Romit Maulik
(
Purdue University
, United States
)
Chaired by:
Prof. Ricardo Vinuesa (University of Michigan , United States) , Dr. Gianmarco Mengaldo (National University of Singapore , Singapore)
Prof. Ricardo Vinuesa (University of Michigan , United States) , Dr. Gianmarco Mengaldo (National University of Singapore , Singapore)
Scheduled presentations:
-
MOJITO: Multi-Output Joint Information-Theoretic Optimization for Scientific Discovery
-
Differentiable Dynamic Mode Decomposition
-
Inverse flowfield reconstruction from streaklines
-
Knowledge-informed machine learning for shaping model behaviour
-
Discovering Predictability Limits and Structural Origins of Extremes in Turbulent Flows via Diffusion-Based Modeling
-
Classically studied coherent structures only paint a partial picture of wall-bounded turbulence
