Multicomponent Signal Unmixing from Nanoheterostructures: Overcoming the Traditional Challenges of Nanoscale X-ray Analysis via Machine Learning | Zendy

David Rossouw | Zendy; Pierre Burdet | Zendy; Francisco de la Peña | Zendy; Caterina Ducati | Zendy; Benjamin R. Knappett | Zendy; Andrew E. H. Wheatley | Zendy; Paul A. Midgley | Zendy

Open Access

Multicomponent Signal Unmixing from Nanoheterostructures: Overcoming the Traditional Challenges of Nanoscale X-ray Analysis via Machine Learning

Author(s) -

David Rossouw,

Pierre Burdet,

Francisco de la Peña,

Caterina Ducati,

Benjamin R. Knappett,

Andrew E. H. Wheatley,

Paul A. Midgley

Publication year - 2015

Publication title -

nano letters

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 4.853

H-Index - 488

eISSN - 1530-6992

pISSN - 1530-6984

DOI - 10.1021/acs.nanolett.5b00449

Subject(s) - bimetallic strip , principal component analysis , nanoparticle , transmission electron microscopy , materials science , nanoscopic scale , scanning transmission electron microscopy , shell (structure) , scanning electron microscope , signal (programming language) , x ray , chemical composition , component (thermodynamics) , analytical chemistry (journal) , nanotechnology , optics , chemistry , physics , computer science , artificial intelligence , composite material , chromatography , organic chemistry , metal , metallurgy , programming language , thermodynamics

The chemical composition of core-shell nanoparticle clusters have been determined through principal component analysis (PCA) and independent component analysis (ICA) of an energy-dispersive X-ray (EDX) spectrum image (SI) acquired in a scanning transmission electron microscope (STEM). The method blindly decomposes the SI into three components, which are found to accurately represent the isolated and unmixed X-ray signals originating from the supporting carbon film, the shell, and the bimetallic core. The composition of the latter is verified by and is in excellent agreement with the separate quantification of bare bimetallic seed nanoparticles.

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