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20172026
most citedA machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data

20 citations · 57 across the 11 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…