Delft Institute of Applied Mathematics
Martin van Gijzen has been appointed as the new Scientific Director of the DHPCEffective September 1, Martin van Gijzen has been appointed as the new Scientific Director of the Delft High Performance Computing Centre (DHPC). Van Gijzen brings a wealth of knowledge and expertise to the centre, and he is committed to further developing the centre into a knowledge hub and go-to portal for high performance computing expertise at the TU Delft.
Navigating the Uncharted Waters of Fluid MechanicsFluid mechanics, the scientific study of how liquids move and interact, plays an indispensable role in advancing our scientific understanding of the world around us. It is part of the bedrock upon which many areas of science, from physics and engineering to medicine and even ecology, are built. As it stands, science has already deciphered much of its intricate landscape. Yet, many open problems continue to be a frontier of uncharted knowledge, part of which Manuel Gnann’s Vidi research aims to explore.
04 December 2023 15:45 till 16:45
[STAT/AP] Wioletta Ruszel: Fermionic Gaussian free field and connections to random lattice modelsIn this talk we will first give a gentle introduction into determinantal and permanental point processes and explain connections to objects from physics which are called fermionic and bosonic variables. Fermions do not like to be close together like electrons in an atom and boson like each other like protons in the kernel of an atom. The classical discrete Gaussian free field is a multivariate Gaussian distribution with a specific covariance structure. The fermionic version of that is related and can be expressed in terms of fermionic variables. We will show some examples and properties of those objects and finally relate them to the degree field of a uniform spanning tree and height-1 field of the Abelian sandpile model if time permits.
This is joint work with L. Chiarini (DUR), A. Cipriani (UCL) and A. Rapoport (UU)
We focus on Functional Analysis and Operator Theory with applications to the study of (partial) differential equations, both deterministic and non-deterministic.
We cover a large spectrum of research areas in probability theory, going from very application-driven towards fundamental research.
Discrete Mathematics & Optimization
Mathematical optimization lies at the heart of many techniques in economy, econometrics, process control, and so on.
We work on mathematical modeling of physical phenomena, often leading to systems of (partial) differential equations.
Our research program concentrates on the development and application of computing methods to the applied sciences.