Dr Lennart Dabelow

Research

nonequilibrium statistical mechanics, quantum many-body dynamics, equilibration and thermalization, stochastic thermodynamics, active matter, machine learning for math and physics

Interests

It is a fascinating empirical fact that macroscopic systems often exhibit surprisingly stable and regular behaviour despite the vastly complicated dynamics and interactions of their microscopic constituents. That is to say, it is usually sufficient to know a few macroscopic parameters of a large system to faithfully reproduce a certain behaviour or experiment, even though every repetition will unfold very differently on the microscopic scale.

Lennart’s research aims at understanding this emergence of macroscopic regularity from microscopic complexity: Starting from well-known and experimentally established laws for the microscopic degrees of freedom, he derives effective descriptions for the macroscopically observable phenomenology of systems with a large number of constituents. The systems he is interested in include the quantum realm of atoms and molecules, the stochastic dynamics of micro- to nanometre-sized Brownian particles and active matter, as well as machine-learning models.

Publications

2024

2022

2021

2020

2019

2017