activity
20052026
most citedTracking the Footprints of Spin Fluctuations: A MultiMethod, MultiMessenger Study of the Two-Dimensional Hubbard Model

183 citations · 789 across the 46 of their papers we have counts for

collaborators

46 papers

cond-mat.str-el2026

Instabilities in self-consistent diagrammatic approaches and how to cure them

Marcel Gievers, Herbert Eßl, Stefan Rohshap +2

While self-consistent diagrammatic approaches are widely used to compute the physical properties of correlated quantum materials, their applicability may get severely hindered prec…

cond-mat.str-el2026

Stabilizing the parquet problem

Herbert Eßl, Stefan Rohshap, Marcel Gievers +3

We systematically analyze the stability of the iterative solution of the parquet equations by studying the spectrum of the Jacobian associated with the commonly used damped fixed-p…

cond-mat.str-el2026

Emergence of spin entanglement with the pseudogap onset in the Fermi-Hubbard model

Frederic Bippus, Thomas Chalopin, Gabriele Bellomia +6

Despite decades of intense theoretical and experimental investigation, the two-dimensional Fermi-Hubbard model still resists a complete microscopic understanding. Conventional appr…

physics.comp-ph2026

Adaptive Patching for Tensor Train Computations

Gianluca Grosso, Marc K. Ritter, Stefan Rohshap +5

Quantics Tensor Train (QTT) operations such as matrix product operator contractions are prohibitively expensive for large bond dimensions. We propose an adaptive patching scheme th…

cond-mat.str-el2025

Multiloop functional renormalization group from single bosons

Kilian Fraboulet, Aiman Al-Eryani, Sarah Heinzelmann +2

The functional renormalization group (fRG) is an established tool in the treatment of correlated electron systems, notably for the description of competing instabilities. In recent…

cond-mat.str-el2025★ 1 cited

A causality-based divide-and-conquer algorithm for nonequilibrium Green's function calculations with quantics tensor trains

Ken Inayoshi, Maksymilian Środa, Anna Kauch +2

We propose a causality-based divide-and-conquer algorithm for nonequilibrium Green's function calculations with quantics tensor trains. This algorithm enables stable and efficient…