Abstract
Combinatorial material science crucially depends on robust, high-throughput characterization methods. While X-ray photoelectron spectroscopy (XPS) may provide detailed information about chemical and electronic properties, it is a time-consuming technique and, therefore, is not viewed as a high-throughput method. Here we present preliminary XPS data of 169 measurement spots on a combinatorial 72 × 72 cm2CuxNi1-xOy compositional library to explore how characterization and evaluation routines can be optimized to improve throughput in XPS for combinatorial studies. In particular, two quantification approaches are compared. We find that a simple integration (of XPS peak regions) approach is suited for fast evaluation of, in the example system, the [Cu]/([Cu] + [Ni]) ratio. Complementary to that, the time-consuming (XPS peak-) fit approach provides additional insights into chemical speciation and oxidation state changes, without a large deviation of the [Cu]/([Cu] + [Ni]) ratio. This insight suggests exploiting the fast integration approach for 'real time' analysis during XPS data collection, paving the way for an 'on-the-fly' selection of points of interest (i.e., areas on the sample where sudden composition changes have been identified) for detailed XPS characterization. Together with the envisioned improvements when going from laboratory to synchrotron-based excitation sources, this will shorten the analysis time sufficiently for XPS to become a realistic characterization option for combinatorial material science.
Original language | English |
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Pages (from-to) | 7996-8002 |
Number of pages | 7 |
Journal | RSC Advances |
Volume | 12 |
Issue number | 13 |
DOIs | |
State | Published - 8 Mar 2022 |
Bibliographical note
Publisher Copyright:© 2022 Royal Society of Chemistry. All rights reserved.
Funding
L. B.-D. and M. B. thank the Helmholtz International Research School HI-SCORE (HIRS-0008) and the HyPerCells Graduate School for funding. At Bar-Ilan University this work was supported by the Israeli Ministry of National Infrastructure, Energy, and Water.
Funders | Funder number |
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Helmholtz International Research School HI-SCORE | HIRS-0008 |
Israeli Ministry of National Infrastructure, Energy |