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20232025
most citedA machine learning framework for quantifying chemical segregation and microstructural features in atom probe tomography data

20 citations · 20 across the 6 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

Identifying grain boundary and intragranular pinning centres in Sm2(Co,Fe,Cu,Zr)17 permanent magnets to guide performance optimisation

Stefan Giron, Nikita Polin, Esmaeil Adabifiroozjaei +21

Permanent magnets draw their properties from a complex interplay of chemical composition and phase, each with their associated intrinsic magnetic properties. Gaining an understandi…