activity
20192021
most citedAn Air-Stable and Atomically Thin Graphene/Gallium Superconducting Heterostructure

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

collaborators

5 papers

cond-mat.mtrl-sci2021

Revealing the chemical bonding in adatoms arrays via machine learning of 3D scanning tunneling spectroscopy data

Kevin M. Roccapriore, Qiang Zou, Lizhi Zhang +9

The adatom arrays on surfaces offer an ideal playground to explore the mechanisms of chemical bonding via changes in the local electronic tunneling spectra. While this information…

cond-mat.mtrl-sci2020

Bayesian learning of adatom interactions from atomically-resolved imaging data

Mani Valleti, Qiang Zou, Rui Xue +8

Atomic structures and adatom geometries of surfaces encode information about the thermodynamics and kinetics of the processes that lead to their formation, and which can be capture…

cond-mat.supr-con20192 cited

An Air-Stable and Atomically Thin Graphene/Gallium Superconducting Heterostructure

Brian Bersch, Natalie Briggs, Yuanxi Wang +13

Two-dimensional layered and atomically thin elemental superconductors may be key ingredients in next-generation quantum technologies, if they can be stabilized and integrated into…

cond-mat.supr-con2019

Local Superconductivity in Vanadium Iron Arsenide

Athena S. Sefat, Giang D. Nguyen, David S. Parker +7

We investigate the chemical substitution of group 5 into BaFe2As2 (122) iron arsenide, in the effort to understand why Fe-site hole doping of this compound (e.g., using group 5 or…

cond-mat.supr-con2019

Lattice Disorder Effect on Magnetic Ordering of Iron Arsenides

Athena S. Sefat, Xiaoping P. Wang, Yaohua Liu +7

This study investigates the changes of magnetic ordering temperature via nano- and mesoscale structural features in an iron arsenide. Although magnetic ground states in quantum mat…