The presentation, titled "Topological Chiral Superconductivity in the Hofstadter-Hubbard Models," will take place at the Sharp Laboratory in Newark, Delaware, as reported by the University of Delaware’s event listings.
The Physics of Moiré Materials
The seminar addresses how Moiré materials act as unique platforms for researchers to examine the interplay between strong electronic correlation and large magnetic flux effects. The talk aims to bridge theoretical predictions with the actual behavior of materials that exhibit these complex quantum properties.
The research utilizes large-scale density matrix renormalization group and tensor network simulations to analyze these systems. These methods have provided evidence for a stable chiral superconducting phase that persists across various conditions. Specifically, the findings suggest the presence of dominant power-law pairing correlations in finite cylinders and nonzero pairing orders in infinite 2D systems. Perhaps most significantly for the field of condensed matter physics, the work identifies a quantized topological Chern number associated with this phase.
Physics Department Examines Topological Superconductivity Mechanisms
The seminar will also explore the distinct nature of the normal state as these interaction regimes shift. This analysis is intended to provide a theoretical framework for the emergence of topological superconductivity, particularly when doping topological Chern bands or when magnetic flux induces chiral spin liquid states in these specialized materials.
The Department of Physics and Astronomy at the University of Delaware, which maintains a broad research scope ranging from subatomic particles to cosmic scales, continues to support this type of fundamental inquiry into the mysteries of matter. By focusing on these specific models, the research aims to clarify how electronic interactions at the microscopic level lead to the macroscopic quantum phenomena observed in advanced materials.
For students and faculty at the Sharp Laboratory, the seminar represents an opportunity to engage with the latest computational simulations in condensed matter physics.
