News & EventsDepartment Events
Events
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May6
EVENT DETAILS
Title: Improving Global Atmosphere Simulation in Earth System Models with Multiphysics Time Integration Methods
Speaker: Chris Vogl, Lawrence Livermore National Laboratory
Abstract: To reliably predict the frequency and severity of hurricanes, floods, droughts, and other weather-driven disasters, the efficient simulation of Earth system models is crucial. Such an endeavor poses a complex, multiphysics problem involving modeling, temporal and spatial discretization, and software implementation considerations. This work focuses on the time integration of the global atmosphere component, with an emphasis on the bulk atmosphere flow and cloud microphysics models. The nonhydrostatic bulk atmosphere flow models include acoustic waves that make the overall system numerically stiff. Our work has developed a model formulation that is amenable to an IMEX approach, where the acoustic waves are treated implicitly. The performance of both existing and customized additive Runge-Kutta methods is evaluated, with certain methods remaining stable at the hydrostatic timestep. Cloud microphysics models currently use first-order operator splitting to address the multiple timescales in the modeled physics, with at-best-first-order limiters required to keep quantities physical. Our work has shown that higher-order explicit, implicit, and IMEX Runge-Kutta methods with error-based adaptive timestep control are more efficient for the subset of cloud microphysics considered thus far.
Zoom: https://northwestern.zoom.us/j/99632064287
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TIME Tuesday, May 6, 2025 at 11:15 AM - 12:15 PM
LOCATION M416, Technological Institute map it
CONTACT Ted Shaeffer ted.shaeffer@northwestern.edu EMAIL
CALENDAR McCormick-Engineering Sciences and Applied Mathematics (ESAM)
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May12
EVENT DETAILS
Title: In Search of Internal Mental Models - Reiss Lecture
Speaker: Adrienne Fairhall, University of Washington
Abstract: How do we build the mental models that we use to perceive, navigate and reason about the world? How might these models be inferred from neural activity? I will describe experiments and analysis in collaboration with Beth Buffalo's lab to explore these questions in our closest relatives, nonhuman primates. In one example, we compare monkey and human behavior in a decision task, and analyze how subjects make use of visual information and feedback to infer a hidden rule, where the rule switches in an uncued fashion. We fit a suite of behavioral models and learn that while humans are close to optimal Bayesian agents, monkey behavior is better fit as reinforcement learning. This allows us to seek neural implementations of this internal belief update. Further, while rodent hippocampus famously encodes the animal's spatial location, we find evidence that hippocampus in the primate serves a more cognitive role.
Zoom: TBA
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TIME Monday, May 12, 2025 at 4:00 PM - 5:00 PM
LOCATION Hive Room 2350, Ford Motor Company Engineering Design Center map it
CONTACT Ted Shaeffer ted.shaeffer@northwestern.edu EMAIL
CALENDAR McCormick-Engineering Sciences and Applied Mathematics (ESAM)
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May27
EVENT DETAILS
Title: Two Tales, One Resolution: Physics-Informed Test Time Scaling and Precondition
Speaker: Yiping Lu, Northwestern University
Abstract: In this talk, I will introduce a novel framework for physics-informed debiasing of machine learning estimators, which we call Simulation-Calibrated Scientific Machine Learning (SCaSML). This approach leverages the structure of physical models to achieve two key objectives:
Unbiased Predictions: It produces unbiased predictions even when the underlying machine learning predictor is biased.
Overcoming Dimensionality Challenges: It mitigates the curse of dimensionality that often affects high-dimensional estimators.The SCaSML paradigm integrates a (potentially) biased machine learning algorithm with a de-biasing procedure that is rigorously designed using numerical analysis and stochastic simulation. Our methodology aligns with recent advances in inference-time computation—similar to those seen in the large language model literature—demonstrating that additional computation can enhance ML estimates. Furthermore, we establish a surprising equivalence between our framework and another research direction that utilizes approximate (linearized) solvers to precondition iterative methods. This connection not only bridges two distinct areas of study but also offers new insights into improving estimation accuracy in complex, high-dimensional (PDE) settings.
Zoom: https://northwestern.zoom.us/j/94570889326
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TIME Tuesday, May 27, 2025 at 11:15 AM - 12:15 PM
LOCATION M416, Technological Institute map it
CONTACT Ted Shaeffer ted.shaeffer@northwestern.edu EMAIL
CALENDAR McCormick-Engineering Sciences and Applied Mathematics (ESAM)
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Jun15
EVENT DETAILSmore info
2024-2025 Commencement Ceremony
TIME Sunday, June 15, 2025
CONTACT Office of the Registrar nu-registrar@northwestern.edu EMAIL
CALENDAR University Academic Calendar
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Jun16
EVENT DETAILS
McCormick School of Engineering PhD Hooding and Master's Degree Recognition Ceremony. The most up to date information can be found on our graduation webpage.
TIME Monday, June 16, 2025 at 9:00 AM - 11:00 AM
LOCATION 2705 Ashland Ave
CONTACT Northwestern Engineering Events northwestern-engineering-events@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science
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Jun16
EVENT DETAILSmore info
McCormick School of Engineering Undergraduate Convocation. The most up to date information can be found on our graduation webpage.
TIME Monday, June 16, 2025 at 2:00 PM - 4:00 PM
LOCATION 2705 Ashland Ave
CONTACT Northwestern Engineering Events northwestern-engineering-events@northwestern.edu EMAIL
CALENDAR McCormick School of Engineering and Applied Science