most citedParadigm shift in electron-based crystallography via machine learning

173 citations · 321 across the 7 of their papers we have counts for

collaborators

7 papers

cond-mat.mtrl-sci2021★ 97 cited

Enhancing plasticity in high-entropy refractory ceramics via tailoring valence electron concentration

Davide G. Sangiovanni, William Mellor, Tyler Harrington +2

Bottom-up design of high-entropy ceramics is a promising approach for realizing materials with unique combination of high hardness and fracture-resistance at elevated temperature.…

cond-mat.mtrl-sci2021★ 1 cited

High-Throughput Rapid Experimental Alloy Development (HT-READ)

Olivia F. Dippo, Kevin R. Kaufmann, Kenneth S. Vecchio

The current bulk materials discovery cycle has several inefficiencies from initial computational predictions through fabrication and analyses. Materials are generally evaluated in…

physics.comp-ph2019★ 28 cited

Novel Remapping Approach for HR-EBSD based on Demons Registration

Chaoyi Zhu, Kevin Kaufmann, Kenneth Vecchio

In this study, the possibility of utilizing a computer vision algorithm, i.e., demons registration, to accurately remap electron backscatter diffraction patterns for high resolutio…

cond-mat.mtrl-sci2019★ 9 cited

Automated Reconstruction of Spherical Kikuchi Maps

Chaoyi Zhu, Kevin Kaufmann, Kenneth Vecchio

An automated approach to reconstruct spherical Kikuchi maps from experimentally collected electron backscatter diffraction patterns and overlay each pattern onto its corresponding…

physics.comp-ph2019★ 12 cited

Computer Vision Approach to Study Deformation of Materials

Chaoyi Zhu, Haoren Wang, Kevin Kaufmann +1

Characterization of the deformation of materials across different length scales has continuously attracted enormous attention from the mechanics and materials communities. In this…

cond-mat.mtrl-sci2019★ 1 cited

A High-Entropy Silicide: (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2

Joshua Gild, Jeffrey Braun, Kevin Kaufmann +5

A high-entropy metal disilicide, (Mo0.2Nb0.2Ta0.2Ti0.2W0.2)Si2, has been successfully synthesized. X-ray diffraction (XRD), energy dispersive X-ray spectroscopy (EDX), and electron…

cond-mat.mtrl-sci2019★ 173 cited

Paradigm shift in electron-based crystallography via machine learning

Kevin Kaufmann, Chaoyi Zhu, Alexander S. Rosengarten +4

Accurately determining the crystallographic structure of a material, organic or inorganic, is a critical primary step in material development and analysis. The most common practice…