Daniel Spitz

Jan 20, 2024 | biorxiv.org | Duminda S. Ranasinghe |Nathan Sanders |Changchang Liu |Daniel Spitz

AbstractDrug combinations have been shown to be an effective strategy for cancer therapy, but identifying beneficial combinations through experiments is labor-intensive and expensive. Machine learning (ML) systems that can propose novel and effective drug combinations have the potential to dramatically improve the efficiency of combinatoric drug design.

Sep 20, 2023 | link.aps.org | Daniel Spitz |Jürgen Berges |Kirill Boguslavski

We study nonequilibrium dynamics of SU(2) lattice gauge theory in Minkowski space-time in a classical-statistical regime, where characteristic gluon occupancies are much larger than unity. In this strongly correlated system far from equilibrium, the correlations of energy and topological densities show self-similar behavior related to a turbulent cascade toward higher momentum scales.

Mar 1, 2023 | onlinelibrary.wiley.com | Maximilian Prüfer |Technische Universität Wien |Daniel Spitz |Universität Heidelberg

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Feb 16, 2023 | link.aps.org | Daniel Spitz |Universität Heidelberg |Julian Urban |Jan Pawlowski

Abstract We investigate the structure of confining and deconfining phases in SU(2) lattice gauge theory via persistent homology, which gives us access to the topology of a hierarchy of combinatorial objects constructed from given data. Specifically, we use filtrations by traced Polyakov loops, topological densities, holonomy Lie algebra fields, as well as electric and magnetic fields. This allows for a comprehensive picture of confinement.