Past Events

Low-rank methods have proven their utility as a complexity reduction technique for kinetic equations, both in the collisionless and collisional regimes (see, e.g., the recent review article https://doi.org/10.1016/j.jcp.2025.114191). Since the...

In his seminal 1973 thesis, Philippe Delsarte identified two important families of association schemes deserving of in-depth study: the P-polynomial association schemes and the Q-polynomial association schemes. P-polynomial association schemes are...

The log-rank conjecture is a longstanding open problem with multiple equivalent formulations in complexity theory and mathematics. In its linear-algebraic form, it asserts that the rank and partitioning number of a Boolean matrix are quasi...

The incipient infinite cluster is a critical percolation cluster that is conditioned on being infinitely large. Even though the condition has probability zero, Kesten demonstrated the first such construction for critical two-dimensional percolation...

The rainbow and the brain have in common that frequencies are produced. In both cases there is a function of frequency, f, called the power spectral density (PSD). In both cases invasive investigation spoils the investigated object. This talk will...

I will give an introduction to Poisson geometry, starting with its role in the dynamics of physical systems and its relationship to symplectic geometry. Through the use of illustrative examples, I will highlight some of the basic features of Poisson...

Machine learning is transforming the way we approach the laws of nature. PhysicsML — the fusion of machine learning with physics-based modeling — is rapidly advancing fields from computational biology and climate forecasting to product design and...

In this talk we discuss two backward uniqueness theorems for extrinsic geometric flow of possibly non-compact hypersurfaces in general ambient complete Riemannian manifolds. These are applicable to a wide range of extrinsic geometric flow, including...

In this talk, we will discuss how Ricci flow smoothing can be used to produce expanding Ricci solitons coming out of a metric cone, when the curvature is non-negative. We will discuss how its relation to problem in Hamilton-Lott pinching conjecture...

It is conjectured that many models of statistical mechanics have a rich, fractal-like behaviour at and near their points of phase transition, with power-law scaling governed by critical exponents that are expected to depend on the dimension but not...