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Meeting 2020 TMS Annual Meeting & Exhibition
Symposium Atom Probe Tomography for Advanced Characterization of Metals, Minerals and Materials III
Presentation Title Quantifying Compositional Uncertainty Arising from Peak Overlaps
Author(s) Andrew James London
On-Site Speaker (Planned) Andrew James London
Abstract Scope There are many sources of error atom probe composition quantification, including when mass peaks overlap. A degree of difficulty and hence error in solving overlaps stems from their relative intensities. We show how uncertainty can be minimized using a maximum likelihood methodology, which furthermore yields a quantitative description of "overlap difficulty". Misidentification of peaks, often yields large systematic errors, which can be additionally complicated by overlapping peaks. However, an analyst must select only the set of ions that are reasonable to consider before solving the overlap. By using an objective criterion from information theory, it is shown how such systematic bias can be avoided when choosing which ions to consider when analyzing the mass spectrum. We show how combining these techniques improves compositional certainty and how this approach can improve experimental planning.
Proceedings Inclusion? Planned: Supplemental Proceedings volume


A Review of Atom Probe Tomography Technology: The Present and Future
APT-based Stoichiometry Measurements of Single Crystal ThO2
APT for Atomic-scale Insights to the Origins of Materials Properties
Atom Probe Tomography of Refractory High Entropy Alloys
Atom Probe Tomography Study of Fission Products in Neutron Irradiated U-Mo Fuel
Characterization of Mechanical Properties of the A356 Cast Aluminum Alloy in Accordance with the Cluster Formation Behaviors at Different Aging Temperatures
Compositional Dependencies of Ni- and Fe-oxides to Experimental Parameters in Atom Probe Tomography
Coupled APT and TEM Investigation of Cu Assisted Nucleation of L12 Precipitates in FCC-based High Entropy Alloys
Elucidating Solute Clustering and Precipitation of Al-Cu-Mg-Ag-Si Model Alloys
Material Alterations in Intense Mechanical and Chemical Contacts
Morphological Classification of Dense Objects in Atom Probe Tomography Data
Nanoparticle Sample Preparation for Atom Probe Tomography: Chemical Fixation and Cryo-Fixation
Quantifying Compositional Uncertainty Arising from Peak Overlaps
Understanding Early Stages of Nanoscale Hydriding and Oxidation Mechanisms in Metallic Systems via Atom Probe Tomography and Multimodal Chemical Imaging

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