activity
20082022
most citedHybridization, Inter-Ion Correlation, and Surface States in the Kondo Insulator SmB6

175 citations · 917 across the 25 of their papers we have counts for

collaborators

25 papers

quant-ph2022★ 26 cited

Titanium Nitride Film on Sapphire Substrate with Low Dielectric Loss for Superconducting Qubits

Hao Deng, Zhijun Song, Ran Gao +19

Dielectric loss is one of the major decoherence sources of superconducting qubits. Contemporary high-coherence superconducting qubits are formed by material systems mostly consisti…

quant-ph2021★ 152 cited

Fluxonium: an alternative qubit platform for high-fidelity operations

Feng Bao, Hao Deng, Dawei Ding +25

Superconducting qubits provide a promising path toward building large-scale quantum computers. The simple and robust transmon qubit has been the leading platform, achieving multipl…

cond-mat.mtrl-sci2021★ 75 cited

Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries

Maxim Ziatdinov, Yongtao Liu, Anna N. Morozovska +4

Machine learning is rapidly becoming an integral part of experimental physical discovery via automated and high-throughput synthesis, and active experiments in scattering and elect…

cond-mat.mtrl-sci2021★ 5 cited

Chiral Spin Bobbers in Exchange-Coupled Hard-Soft Magnetic Bilayers

Xiaohang Zhang, Tieren Gao, Lei Fang +11

The spin structure of exchange-coupled MnBi:Co-Fe bilayers is investigated by X-ray magnetic circular dichroism (XMCD), polarized neutron reflectometry (PNR), and micromagnetic sim…

physics.data-an2021

Mapping causal patterns in crystalline solids

Chris Nelson, Anna N. Morozovska, Maxim A. Ziatdinov +4

The evolution of the atomic structures of the combinatorial library of Sm-substituted thin film BiFeO3 along the phase transition boundary from the ferroelectric rhombohedral phase…

physics.data-an2021★ 11 cited

Deep learning polarization distributions in ferroelectrics from STEM data: with and without atom finding

Ayana Ghosh, Christopher T. Nelson, Mark Oxley +4

Over the last decade, scanning transmission electron microscopy (STEM) has emerged as a powerful tool for probing atomic structures of complex materials with picometer precision, o…