37 citations · 86 across the 8 of their papers we have counts for
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physics.chem-ph2023★ 20 cited
A machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data
Alaukik Saxena, Nikita Polin, Navyanth Kusampudi +7
Atom probe tomography (APT) is ideally suited to characterize and understand the interplay of chemical segregation and microstructure in modern multicomponent materials. Yet, the q…
cond-mat.mtrl-sci2023★ 1 cited
Constructing phase diagrams for defects by correlated atomic-scale characterization
Xuyang Zhou, Prince Mathews, Benjamin Berkels +10
Phase transformations and crystallographic defects are two essential tools to drive innovations in materials. Bulk materials design via tuning chemical compositions has been system…