activity
20242026
most citedBand Renormalization, Quarter Metals, and Chiral Superconductivity in Rhombohedral Tetralayer Graphene

28 citations · 42 across the 7 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci2026

Learning the Geometry of Materials Space with Trained Neural Tangent Kernels

Daniel Kaplan, Gabriel Kotliar, Anirvan M Sengupta

Neural networks trained to predict materials properties learn representations whose physical content can be difficult to extract. We use the neural tangent kernel (NTK), evaluated…

cond-mat.mes-hall2025

Machine learning assisted high throughput prediction of moiré materials

Daniel Kaplan, Alexander C. Tyner, Eva Y. Andrei +1

The world of 2D materials is rapidly expanding with new discoveries of stackable and twistable layered systems composed of lattices of different symmetries, orbital character, and…

cond-mat.mes-hall2025

Anomalous Hall effect in rhombohedral graphene

Vera Mikheeva, Daniele Guerci, Daniel Kaplan +1

Motivated by recent experiments on rhombohedral stacked multilayer graphene and the observation of the anomalous Hall effect in a spontaneous spin-valley polarized quarter metal st…

cond-mat.supr-con2025

Quantum geometric photocurrents of quasiparticles in superconductors

Daniel Kaplan, Kevin P. Lucht, Pavel A. Volkov +1

Nonlinear optical response is a sensitive probe of the geometry and symmetry of electronic Bloch states in solids. Here, we extend this notion to the Bogoliubiov-de-Gennes (BdG) qu…

cond-mat.str-el2025★ 28 cited

Band Renormalization, Quarter Metals, and Chiral Superconductivity in Rhombohedral Tetralayer Graphene

Guillermo Parra-Martinez, Alejandro Jimeno-Pozo, Vo Tien Phong +7

Recently, exotic superconductivity emerging from a spin-and-valley-polarized metallic phase has been discovered in rhombohedral tetralayer graphene. To explain this observation, we…

cs.LG2024★ 11 cited

Deep Learning Based Superconductivity: Prediction and Experimental Tests

Daniel Kaplan, Adam Zhang, Joanna Blawat +6

The discovery of novel superconducting materials is a longstanding challenge in materials science, with a wealth of potential for applications in energy, transportation, and comput…

cond-mat.mtrl-sci2024★ 1 cited

Real-Space Imaging of the Band Topology of Transition Metal Dichalcogenides

Madisen Holbrook, Julian Ingham, Daniel Kaplan +11

The topological properties of Bloch bands are intimately tied to the structure of their electronic wavefunctions within the unit cell of a crystal. Here, we show that scanning tunn…

cond-mat.supr-con2024★ 2 cited

Topological superconductivity from repulsive interactions in twisted WSe

Daniele Guerci, Daniel Kaplan, Julian Ingham +2

The recent observation of superconductivity in twisted bilayer WSe raises intriguing questions concerning the origin and the properties of superconducting states realized in ba…