The Influence of Coupled Wave Networks on the Dynamics of Nonlinear Lattices Nonlinear lattice models, which describe the dynamics of spatially discretized systems, are an important class of models for understanding the behavior of solid materials, network dynamics, and nonlinear systems. The significance of the spatial topology of these lattice...
Recent applications of the hybrid particle-ensemble Kalman filter in Lagrangian data assimilation Lagrangian data assimilation consists of directly assimilating the positions of (semi-) passive drifters in order to estimate the underlying flow field. It is characterized by a high-dimensional fluid flow state governing the movement of a low-dimensional, highly nonlinear...
Optimizing flexibility in the collective decisions of honeybees Honeybees make decisions as a group while searching for a new home site or foraging. The quality of each choice influences the rate at which scout bees recruit others via a waggle dance. In addition, decided bees can influence those with opposing...
Shattered Time: Can a Time Crystal Survive Quantum Correlations? Time crystals are an exotic new form of matter proposed by Nobel laureate Frank Wilczek in 2012 and demonstrated in lab experiments by two independent groups in the past two years. Potential applications include major steps forward in precise timekeeping and...
What can you discover about a Dynamical System using a computer? This talk will cover several methods of dynamical system discovery. The first concerns time-delay embedding of observed data, with an in-depth discussion of the continuity test. We use the continuity test both to create a time-delay embedding and to...
Control of macroscopic neuronal network activity is optimal at criticality There is growing evidence that the cortex operates at a critical state where the strength of excitatory and inhibitory neurons is precisely balanced. Recent research has shown that many properties related to information processing are optimized at criticality, including dynamic...
Wave initiation thresholds in neural fields: An interface dynamics approach Traveling waves of neural activity have been observed in vitro and in vivo, resulting for instance from sensory inputs at nucleate outward propagating fronts. However, it can be difficult in both experiments and models to identify the threshold stimulus necessary...
Velocity and Vorticity in the Right Human Heart Recent advances in time-resolved 3D cardiac magnetic resonance imaging (4DMRI) have allowed for the 3-dimensional, 3-component characterization of blood flow in the right ventricle (RV) and right atrium (RA) of the human heart. In this talk, an overview of a large, ongoing,...
Investigations of asymptotic models for convection-driven flows in astrophysical and geophysical fluids Geophysical flows, such as the turbulent motion within the Earth’s liquid iron outer core, are characterized by a wide range of spatial and temporal scales. Due to this complexity, approaches that rely on solving the full Navier-Stokes equations...
A network approach to cloud organization Clouds are an important component of the climate system that tend to cool the planet by reflecting incoming solar radiation back to space. The representation of shallow clouds and their radiative impact is one of the largest challenges for global climate modelling. I will...
