Seminars

Enrico Camporeale, Space Weather Prediction Center, National Oceanic and Atmospheric Administration Using Physics-Informed Neural Networks for solving inverse problems: a space physics case study We use the framework of Physics-Informed Neural Network (PINN) to solve the inverse problem associated with the Fokker-Planck equation for radiation belts' electron transport, using 4...

Peter Thomas; Department of Mathematics, Applied Mathematics, and Statistics; Case Western Reserve University A Universal Description of Stochastic Oscillators Many systems in physics, chemistry and biology exhibit oscillations with a pronounced random component. Such stochastic oscillations can emerge via different mechanisms, for example linear dynamics of a stable focus with...

Steve Penny, Data Assimilation Lead, Sofar Ocean Advances in integrating Artificial Intelligence / Machine Learning (AI/ML) with Data Assimilation (DA) to produce data-driven weather forecasts. A number of exciting advances in Machine Learning (ML) weather models have occurred within the past year. An important next step is to determine how...

Isla Simpson, National Center for Atmospheric Research (NCAR), Boulder, CO Future projections in the large-scale atmospheric circulation response to climate change: uncertainties, implications and progress Accurate future projections of the climate system are hindered by a number of sources of uncertainty: forcing uncertainty, internal variability, and model structural uncertainty. Accurately...

Nathalie Vriend, The Paul M. Rady Department of Mechanical Engineering , University of Colorado Boulder Granular Flows: Photoelastic avalanches & Bedform dynamics Flowing granular materials arise everywhere around us, in industry from pharmaceutical processes to bulk good transport lines, and in nature from snow avalanches to captivating dune fields. At...

Daniel Acuña, Department of Computer Science, University of Colorado Boulder Robust Scientific Image Tampering Detection through Noise Inconsistencies and Null Models Scientific image tampering is a critical issue that undermines the research community's perception of trust and integrity. Current methods for identifying image tampering in natural images may not be...

Kyle Luh, Department of Mathematics, University of Colorado Boulder Extreme Eigenvalues of a Random Laplacian Matrix The extreme eigenvalues of a random matrix have been important objects of study since the inception of random matrix theory and also have a variety of applications. The Laplacian matrix is the workhorse of...

Alessandro Peri, Department of Economics, University of Colorado Boulder Programming FPGAs for Economics: An Introduction to Electrical Engineering Economics We show how to use field-programmable gate arrays (FPGAs) and their associated high-level synthesis (HLS) compilers to solve heterogeneous agent models with incomplete markets and aggregate uncertainty (Krusell and Smith, 1998)...

Daniel Rothman; Department of Earth, Atmospheric, and Planetary Sciences; Massachusetts Institute of Technology Excitations of Earth's Carbon Cycle Mysterious, transient changes in the ocean's store of carbon occur intermittently throughout Earth's history. Each of these events coincides with climate change; moreover, mass extinctions are always accompanied by such events. What...

Stephanie Chaillat, Laboratoire POems, École Nationale Supérieure de Techniques Avancées Paris Fast Boundary Element Methods to simulate underwater explosions and their interactions with submarines Assessing the impact of underwater explosions on submerged structures (submarines) is an important naval engineering problem. An underwater explosion mainly induces two distinct phenomena: a "shock...