collaborators

12 papers

cond-mat.mtrl-sci2026

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…

cond-mat.mes-hall2025

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…

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.supr-con2025

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…

quant-ph2025

Accelerated characterization of two-level systems in superconducting qubits via machine learning

Avinash Pathapati, Olli Mansikkamäki, Alexander Tyner +1

We introduce a data-driven approach for extracting two-level system (TLS) parameters-frequency , coupling strength , dissipation time , and the pure dephasi…

cond-mat.mes-hall2025

Accelerated Discovery of Topological Conductors for Nanoscale Interconnects

Alexander C. Tyner, William Rogers, Po-Hsin Shih +5

The sharp increase in resistivity of copper interconnects at ultra-scaled dimensions threatens the continued miniaturization of integrated circuits. Topological semimetals (TSMs) w…