Keithen O. Orson, William H. Blades, Anna Costine, Zachary D. Harris, Yuran Niu, Alexei Zakharov, Petra Reinke
{"title":"在 X 射线光发射电子显微镜中以纳米级分辨率对 Ni-22Cr 氧化动力学进行操作研究","authors":"Keithen O. Orson, William H. Blades, Anna Costine, Zachary D. Harris, Yuran Niu, Alexei Zakharov, Petra Reinke","doi":"10.1016/j.jallcom.2024.178054","DOIUrl":null,"url":null,"abstract":"Understanding the initial oxidation pathways on binary Ni-Cr surfaces is import for alloy development and rational design. The early-stage oxidation of Ni-22wt.% Cr is studied in-situ and in-operando with synchrotron-based x-ray photoelectron microscopy (XPEEM) and x-ray photoelectron spectroscopy (XPS) at 500 °C and oxygen exposure from 0-65 Langmuir. Preferential Cr oxidation is accompanied by Cr depletion in the alloy. Analysis of XPEEM timeseries and hyperspectral datasets presented the combined challenge of large datasets and varying image background. Hyperspectral data was approached using a combination of data dimensionality reduction techniques including principal component analysis (PCA), non-negative matrix approximation (NNMA), cosine similarity (CS), and tiling. These methods deliver spatially resolved chemical identification and extract the evolution of oxide island distribution over time. XPEEM timeseries thresholding shows that chromia islands are embedded in a thinner layer of oxidic Cr components, and larger islands emerge at ~30<!-- --> <!-- -->L. Their growth rate and size distribution differs markedly for (104) and (212) surfaces studied here. The layer-plus-island growth mode is reminiscent of a Stranski-Krastanov type growth and increases the oxide layer heterogeneity. This work demonstrates a local-background framework for island identification and the utility of PCA, NNMA, and cosine similarity for analysis of XPEEM datasets.","PeriodicalId":344,"journal":{"name":"Journal of Alloys and Compounds","volume":"39 1","pages":""},"PeriodicalIF":6.3000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Operando Study of Ni-22Cr Oxidation Dynamics with Nanoscale Resolution in an X-Ray Photoemission Electron Microscope\",\"authors\":\"Keithen O. Orson, William H. Blades, Anna Costine, Zachary D. Harris, Yuran Niu, Alexei Zakharov, Petra Reinke\",\"doi\":\"10.1016/j.jallcom.2024.178054\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding the initial oxidation pathways on binary Ni-Cr surfaces is import for alloy development and rational design. The early-stage oxidation of Ni-22wt.% Cr is studied in-situ and in-operando with synchrotron-based x-ray photoelectron microscopy (XPEEM) and x-ray photoelectron spectroscopy (XPS) at 500 °C and oxygen exposure from 0-65 Langmuir. Preferential Cr oxidation is accompanied by Cr depletion in the alloy. Analysis of XPEEM timeseries and hyperspectral datasets presented the combined challenge of large datasets and varying image background. Hyperspectral data was approached using a combination of data dimensionality reduction techniques including principal component analysis (PCA), non-negative matrix approximation (NNMA), cosine similarity (CS), and tiling. These methods deliver spatially resolved chemical identification and extract the evolution of oxide island distribution over time. XPEEM timeseries thresholding shows that chromia islands are embedded in a thinner layer of oxidic Cr components, and larger islands emerge at ~30<!-- --> <!-- -->L. Their growth rate and size distribution differs markedly for (104) and (212) surfaces studied here. The layer-plus-island growth mode is reminiscent of a Stranski-Krastanov type growth and increases the oxide layer heterogeneity. This work demonstrates a local-background framework for island identification and the utility of PCA, NNMA, and cosine similarity for analysis of XPEEM datasets.\",\"PeriodicalId\":344,\"journal\":{\"name\":\"Journal of Alloys and Compounds\",\"volume\":\"39 1\",\"pages\":\"\"},\"PeriodicalIF\":6.3000,\"publicationDate\":\"2024-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Alloys and Compounds\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jallcom.2024.178054\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Alloys and Compounds","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.1016/j.jallcom.2024.178054","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, PHYSICAL","Score":null,"Total":0}
Operando Study of Ni-22Cr Oxidation Dynamics with Nanoscale Resolution in an X-Ray Photoemission Electron Microscope
Understanding the initial oxidation pathways on binary Ni-Cr surfaces is import for alloy development and rational design. The early-stage oxidation of Ni-22wt.% Cr is studied in-situ and in-operando with synchrotron-based x-ray photoelectron microscopy (XPEEM) and x-ray photoelectron spectroscopy (XPS) at 500 °C and oxygen exposure from 0-65 Langmuir. Preferential Cr oxidation is accompanied by Cr depletion in the alloy. Analysis of XPEEM timeseries and hyperspectral datasets presented the combined challenge of large datasets and varying image background. Hyperspectral data was approached using a combination of data dimensionality reduction techniques including principal component analysis (PCA), non-negative matrix approximation (NNMA), cosine similarity (CS), and tiling. These methods deliver spatially resolved chemical identification and extract the evolution of oxide island distribution over time. XPEEM timeseries thresholding shows that chromia islands are embedded in a thinner layer of oxidic Cr components, and larger islands emerge at ~30 L. Their growth rate and size distribution differs markedly for (104) and (212) surfaces studied here. The layer-plus-island growth mode is reminiscent of a Stranski-Krastanov type growth and increases the oxide layer heterogeneity. This work demonstrates a local-background framework for island identification and the utility of PCA, NNMA, and cosine similarity for analysis of XPEEM datasets.
期刊介绍:
The Journal of Alloys and Compounds is intended to serve as an international medium for the publication of work on solid materials comprising compounds as well as alloys. Its great strength lies in the diversity of discipline which it encompasses, drawing together results from materials science, solid-state chemistry and physics.