most citedRevealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cond-mat.mtrl-sci2026

Revealing epitaxial relationships at GaO interfaces with p-type oxides

Anna Sacchi, Krishna Acharya, Michelle A. Smeaton +5

p-type oxide contact layers such as CrO and NiO are attracting increasing interest in pn-heterojunctions with n-type monoclinic -GaO for high-power electronic de…

cs.LG2026

Enhancing EBSD throughput of battery electrode materials using super-resolution generative adversarial networks

John Mangum, Andrew Glaws, Francois Usseglio-Viretta +2

Quantitative microstructural characterization of Li-ion battery electrode materials using electron backscatter diffraction (EBSD) has been proven as a critical method for optimizin…

cond-mat.mtrl-sci2026

Revealing the Atomic Structure of NiO/GaO Interfaces

Michelle A. Smeaton, Krishna Acharya, Anna Sacchi +5

NiO/GaO heterojunctions have garnered significant attention for use in power electronics due to the ultrawide bandgap and wafer-scale availability of GaO an…

cond-mat.mtrl-sci2026

Born-Qualified: An Autonomous Framework for Deploying Advanced Energy and Electronic Materials

Steven R. Spurgeon, Milad Abolhasani, Frederick Baddour +28

Autonomous science is transforming how we discover materials and chemical systems for advanced energy technologies. However, many initially promising systems never reach deployment…

cond-mat.mtrl-sci2025★ 1 cited

Revealing the Hidden Third Dimension of Point Defects in Two-Dimensional MXenes

Grace Guinan, Michelle A. Smeaton, Brian C. Wyatt +6

Point defects govern many important functional properties of two-dimensional (2D) materials. However, resolving the three-dimensional (3D) arrangement of these defects in multi-lay…

cond-mat.mtrl-sci2025★ 1 cited

Mic-hackathon 2024: Hackathon on Machine Learning for Electron and Scanning Probe Microscopy

Utkarsh Pratiush, Austin Houston, Kamyar Barakati +70

Microscopy is a primary source of information on materials structure and functionality at nanometer and atomic scales. The data generated is often well-structured, enriched with me…