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Steve Brunton - Discovering interpretable and generalizable dynamical systems from data
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AI Institute in Dynamic Systems
Interpretable data-driven model discovery: dynamical systems, ROMs, and operators
New Book!!! Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control
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BOOK ANNOUNCEMENT: Data-Driven Methods for Dynamic Systems
Data Driven Discovery of Dynamical Systems and PDEs
Introduction to System Dynamics: Overview
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Last Updated: September 20, 2026
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This video provides a high-level Prof. Michael Mahoney from UC Berkeley speaking in the This is an introductory video for my class on Talk given at the University of Washington on 6/6/19 for the Physics Informed Machine Learning Workshop. Hosted by Nathan ... Multiscale phenomena that evolve on multiple distinct timescales are prevalent throughout the sciences. It is often the case that ... This video announces a new NSF AI Institute in 2025 USACM Novel Methods Fall Seminar Title: Interpretable PhD defence of Bartosz Prokop: During the defence Bartosz presented some results of his research where he focuses on model ... As experimental datasets grow larger and computational power continues to soar, a new generation of tools is reshaping how we ... This video highlights recent innovations in
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