Seminar: Michael Howland (MIT)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Mike Howland (MIT)
Title: Unraveling interactions between extreme-scale wind power systems and stratified, turbulent environmental flows
Abstract: To meet net-zero carbon emissions targets by mid-century, up to a -fold increase in wind power capacity is required. To expand energy production, wind turbines are rapidly increasing in size, wind farms are proliferating to new locations and are increasing in size and siting density, and novel wind farm design and control methods are increasingly deployed. But current engineering models driving wind power design and control rely on idealized theory that neglects key aspects of rotor operation within the turbulent, stratified, and sheared atmospheric boundary layer, which are increasingly important for larger turbines and farms.
We revisit the first-principles of mass, momentum, and energy…
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/events/3B1ihLhzDwR3ZA5Kso5XSV. Campus room: 315. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, September 24, 2026, 11:00 AM – 12:00 PM.
Seminar: Tim Tang (Manchester)
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Title: What makes a wave break? How machine learning can shed light on the underlying physics of breaking waves
Abstract: A wide class of supervised machine learning methods are known to be excellent at modelling complex systems empirically. These empirical models, however, usually provide only limited physical explanations about the underlying systems. Instead, so-called “knowledge discovery” methods can be used to determine the governing equations that describe observed phenomena. In this talk, I will focus on how we can use such methods to model the physics underpinning a commonly observed yet not fully understood phenomenon — the breaking of water waves.
In our work, we use symbolic regression to discover the equation that describes wave breaking evolution from a dataset of in-silico waves generated using extremely…
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/s/dynamicsai. Campus room: G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, October 1, 2026, 11:00 AM – 12:00 PM.
Dynamics AI Leadership Kickoff & Planning Meeting
Details sent via email to leadership.
Event interval: Single day event. Accessibility Contact: llederer@uw.edu. Event Types: Meetings.
Wednesday, October 7, 2026 – Thursday, October 8, 2026.
Seminar: Jane Wang (Cornell)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Jane Wang (Cornell)
Title: Physics, Neural Control, and Evolution of Insect Flight
Abstract: Insects are key to understanding the origin and evolution of flight. They were the first organisms to evolve flight and have since become the most abundant species on Earth. I will discuss our work on building mathematical models and computational methods, along with behavioral experiments, to reveal and explain the connection between the physics of flight and insects' evolved neural algorithms for flight. I will also present new general criteria for flight stability and discuss their implications for evolutionary questions.
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/events/VEEy12bonCZ392PEzukF2u. Campus room: IEB G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, October 8, 2026, 11:00 AM – 12:00 PM.
Seminar: Felix Herrmann (Georgia Tech)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Felix Herrmann, Georgia Tech
Title: Wave-Based Imaging Beyond the Point Estimate
Abstract: Full-waveform inversion has transformed seismic imaging, but it is still mostly used to compute a single best Earth property model rather than a distribution of models consistent with the data. Sparse observations, nonlinearity, and poor illumination make this inverse problem ill-posed and prone to parasitic local minima. Bayesian methods can quantify uncertainty, but they are hard to scale because of high dimensionality, expensive simulations, and the lack of realistic priors.
This talk outlines a machine-learning approach to uncertainty-aware full-waveform inference. Score-based generative models are used to construct proxy Earth priors from imaged seismic data and sparse Earth properties measured at wells. Samples from these priors, paired with…
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/s/dynamicsai. Campus room: IEB G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, October 15, 2026, 11:00 AM – 12:00 PM.
Seminar: Alan Kaptanoglu
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Alan Kaptanoglu, University of Washington
Title: Recent progress in numerical methods for designing stellarator fusion reactors
Abstract: I will discuss recent work in my research group on the modeling and optimization of 3D toroidal fusion devices (stellarators). We have recently designed a new MHD equilibrium solver that can: produce robust 3D equilibrium solutions with islands and chaos by using magnetic relaxation, scale on modern GPUs and provide differentiable objectives by using JAX, and use nonuniform meshes and numerically conserve the relevant structural properties to machine precision by using mixed FE. Moreover, a long-standing issue for stellarators has been finding suitable coils. Traditional optimization methods struggle to balance multiple physics and engineering constraints, often finding suboptimal or infeasible…
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/events/EnFRHQQpYCRmcA4XK7qtqK. Campus room: IEB G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, October 22, 2026, 11:00 AM – 12:00 PM.
Seminar: Gian-Gabriel Garcia (UW)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Gian-Gabriel Garcia, University of Washington.
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/events/T8TXSVawWeGuZ9sfn5kzf7. Campus room: IEB G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, October 29, 2026, 11:00 AM – 12:00 PM.
Seminar: Ching-Yao Lai (Stanford)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Ching-Yao Lai (Stanford)
Title: Solution discovery in fluids with high precision using neural networks
Abstract: I will discuss examples utilizing neural networks (NNs) to find solutions to partial differential equations (PDEs) that facilitate new discoveries. Despite being deemed universal function approximators, neural networks, in practice, struggle to fit functions with sufficient accuracy for rigorous analysis. Here, we developed multi-stage neural networks (Wang and Lai, J. Comput. Phys. 2024) that can reduce the prediction error to nearly the machine precision of double-precision floating points within a finite number of iterations. We use accurate NNs to tackle the challenge of searching for singularities in fluid equations (Wang-Lai-Gómez-Serrano-Buckmaster, Phys. Rev. Lett. 2023). Unstable singularities, especially in dimensions…
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/s/dynamicsai. Campus room: G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, November 5, 2026, 11:00 AM – 12:00 PM.
HOLIDAY | UW CLOSED
Event interval: Single day event. Accessibility Contact: N/A. Event Types: Not Specified.
Wednesday, November 11, 2026.
Seminar: Sara Mouradian (UW)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Sara Mouradian (UW)
Title: Building and Controlling Quantum Technologies
Abstract: Quantum technologies promise capabilities beyond the reach of classical systems, but realizing this potential requires exquisite control over physical quantum hardware. This talk describes our work on trapped-ion quantum systems across three themes: efficiently calibrating entangling gate operations with minimal experimental overhead; optimal control for increasing operation fidelity under complex noise models; and using the effects of quantum measurement as a resource for metrology. Together, these results illustrate how principled control of quantum systems, combining classical machine learning, hardware characterization, and measurement design, unlocks their potential for both computation and sensing.
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/events/BotD4bmc4KMnRCGeSyWpn9. Campus room: G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, November 12, 2026, 11:00 AM – 12:00 PM.
Seminar: Leo Kozachkov (Brown University)
Attend in person, or visit our community page on Cassyni to watch the seminar live or recorded. You can also sign up for notifications for future seminars! Speaker: Leo Kozachkov, Brown University
Title: Predictable Nonlinear Dynamics can be Efficiently Parallelized in Time.
Event interval: Single day event. Campus location: Interdisciplinary Engineering Building (IEB). Online Meeting Link: https://cassyni.com/s/dynamicsai. Campus room: G106. Accessibility Contact: llederer@uw.edu. Event Types: Academics. Lectures/Seminars. Special Events. Student Activities.
Thursday, November 19, 2026, 11:00 AM – 12:00 PM.
HOLIDAY | UW CLOSED
Event interval: Single day event. Accessibility Contact: N/A. Event Types: Not Specified.
Thursday, November 26, 2026 – Friday, November 27, 2026.