14 papers
Towards a universal model for spin-orbit coupled Wannier Hamiltonians
Alexander C. Tyner
While machine learning interatomic potentials (MLiPs) have matured to revolutionize material science, deep learning models for electronic structure are just beginning to emerge and…
Revealing quantum metric multipoles in magnetic topological insulator MnBi2Te4
Lars Sjöström, Prasanna Rout, Shahid Sattar +9
Nonlinear electronic transport has emerged as a powerful probe of the quantum geometry in topological quantum materials, where the band topology and broken symmetries facilitate po…
Generation of magnetic metal-organic frameworks
Alexander C. Tyner, Avinash Pathapati, Alexander V. Balatsky
The potential to utilize metal-organic frameworks as a replacement for rare earth materials as well as in technological applications has prompted increased interested in this mater…
Simulating alternating bias assisted annealing of amorphous oxide tunnel junctions
Alexander C. Tyner, Alexander V. Balatsky
Amorphous oxide tunneling barriers, primarily formed from aluminum, represent one of the most widely adopted platforms for superconducting quantum bits (qubits). To overcome challe…
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…
Tailoring Superconductivity with Two-Level Systems
Joshuah T. Heath, Alexander C. Tyner, S. Pamir Alpay +2
We investigate the impact of two-level systems (TLSs) on superconductivity, treating them as soft modes localised in real space. We show that these defects can either enhance or su…