most citedChiral and topological superconductivity in isospin polarized multilayer graphene

16 citations · 16 across the 2 of their papers we have counts for

collaborators

11 papers

cond-mat.mes-hall2026

Flux-tunable global and local superconductivity in a topological insulator nano-SQUID

Ella Nikodem, Jakob Schluck, Michał Papaj +5

Topological systems are defined by global properties that enforce the existence of local boundary modes. Three-dimensional topological insulators (TIs) were among the earliest prop…

cond-mat.mes-hall2026

Relaxation-driven flat bands and topology in moiré transition metal dichalcogenide heterobilayers

Mitchell Luskin, Max Geier, Liang Fu +1

Moiré transition metal dichalcogenide (TMD) heterobilayers are commonly modeled by a continuum theory that yields topologically trivial bands, in contrast to their homobilayer coun…

cond-mat.supr-con202616 cited

Chiral and topological superconductivity in isospin polarized multilayer graphene

Max Geier, Margarita Davydova, Liang Fu

A microscopic mechanism for chiral p-wave superconductivity from Coulomb repulsion is proposed for spin- and valley-polarized state of rhombohedral multilayer graphene. The superco…

cond-mat.str-el2026

Large Electron Model: A Universal Ground State Predictor

Timothy Zaklama, Max Geier, Liang Fu

We introduce Large Electron Model, a single neural network model that produces variational wavefunctions of interacting electrons over the entire Hamiltonian parameter manifold. Ou…

cond-mat.mes-hall2026

Topological Order in Neural Wavefunctions

Ahmed Abouelkomsan, Max Geier, Liang Fu

Topologically ordered states are among the most interesting quantum phases of matter that host emergent quasi-particles having fractional charge and obeying fractional quantum stat…

cond-mat.supr-con2026

Attention is all you need to solve chiral superconductivity

Chun-Tse Li, Tzen Ong, Max Geier +2

Recent advances on neural quantum states have shown that correlations between quantum particles can be efficiently captured by attention -- a foundation of modern neural architectu…