16 citations · 21 across the 5 of their papers we have counts for
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cond-mat.mtrl-sci2021★ 5 cited
Machine-Learning-Based Intelligent Framework for Discovering Refractory High-Entropy Alloys with Improved High-Temperature Yield Strength
Stephen A. Giles, Debasis Sengupta, Scott R. Broderick +1
Refractory high-entropy alloys (RHEAs) are a promising class of alloys that show elevated-temperature yield strengths and have potential to use as high-performance materials in gas…
cond-mat.mtrl-sci2021★ 16 cited
Dopant-defect interactions and their impact on local crystal stoichiometry studies in Mg-doped GaN via atom probe tomography
Olivia Grace Licata, Scott Broderick, Emma Rocco +2
In this work, doping-defect interactions relevant to self-compensation in p-type GaN were investigated using atom probe tomography. The 3D visualization of ion distribution reveale…