Data-Driven Seminar: Olga Fink
Title: Momentum-Conserving Physics-Informed Graph Neural Networks for Dynamical Systems
Abstract: Accurate and interpretable modeling of multi-body dynamical systems is a fundamental
challenge in domains ranging from robotics and aerospace to biophysics and materials science.
Traditional physics-based approaches are often computationally expensive and difficult to scale, while
purely data-driven methods like graph neural networks (GNNs) may lack physical consistency and
generalization. This talk presents Dynami-CAL GraphNet, a new physics-informed GNN framework
that explicitly integrates conservation laws, specifically, the pairwise conservation of linear and angular
momentum, into its architecture. By leveraging edge-local reference frames that are equivariant to
rotations and translations, our model produces physically consistent predictions and offers
interpretable insights into the forces and moments governing each interaction.
We demonstrate the effectiveness of Dynami-CAL GraphNet across a wide spectru…
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars.
Thursday, February 19, 2026, 9:00 AM – 10:00 AM.
For more info visit cassyni.com. Data-Driven Seminar: Bing Brunton
Title and abstract to be posted.
Event interval: Single day event. Campus location: Electrical and Computer Engineering Building (ECE). Campus room: 125. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars.
Thursday, February 26, 2026, 11:30 AM – 12:30 PM.
For more info visit cassyni.com. Data-Driven Seminar | Oliver Schmidt
Title & abstract to be posted when available.
Event interval: Single day event. Accessibility Contact: llederer@uw.edu. Event Types: Lectures/Seminars. Academics.
Monday, March 2, 2026, 11:30 AM – 12:30 PM.
For more info visit cassyni.com. Thrust Lead Meeting
Calendar invites with a Zoom link will be sent to participants.
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Tuesday, March 10, 2026, 12:00 PM – 1:00 PM.
Data-Driven Seminar: Ricardo Vinuesa
Title: Explainable deep learning for control and foundation models for discovery and optimization
Abstract: In this seminar we discuss a unified framework that combines explainable deep learning, deep reinforcement learning (DRL) and foundation models to advance both understanding and control of turbulence, with direct implications for accelerated design and discovery. First, we will show how explainable deep learning techniques can be used to identify the flow features that are truly responsible for key turbulent processes in wall-bounded flows. By systematically interrogating trained neural networks, we uncover the most influential coherent structures driving momentum transport and drag. Our results reveal that classically studied structures (while important) provide only a partial and sometimes misleading perspective, motivating a more data-driven and physics-aware view of turbulence organization. Building on these insights, we will demonstrate how deep reinforcement learning can be used to actively contr…
Event interval: Single day event. Campus location: Electrical and Computer Engineering Building (ECE). Campus room: 125. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars.
Thursday, March 19, 2026, 11:30 AM – 12:30 PM.
For more info visit cassyni.com. Institute-wide Meeting
See internal calendar for Zoom link.
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Tuesday, April 14, 2026, 12:00 PM – 1:00 PM.
Thrust Lead Meeting
Calendar invites with a Zoom link will be sent to participants.
Event interval: Single day event. Campus room: N/A. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Tuesday, May 12, 2026, 12:00 PM – 1:00 PM.