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    <id>61788</id>
    <completedYear/>
    <publishedYear>2024</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>lecture</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
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    <title language="eng">Enhancing the Efficiency and Accessibility of Grazing Exit X-ray Absorption Spectroscopy for Corrosion and Layered Materials Analysis</title>
    <abstract language="eng">In the field of materials science, there is a critical need for efficient and effective characterization techniques, especially in the investigation of corrosion processes of compositionally complex alloys (CCAs) or the analysis of layered structures. This talk presents an advanced approach that combines grazing-exit X-ray absorption near-edge structure spectroscopy (GE-XANES) with Bayesian optimization (BO) to significantly improve the efficiency of data acquisition while retaining the depth-resolved, element-specific analysis capabilities that are critical for studying these materials under ambient conditions. Using a non-destructive, scan-free GE-XANES setup coupled with a pnCCD detector and grazing exit X-ray fluorescence spectroscopy (GE-XRF) geometry, our method enables precise analysis at sub-micrometer depths without the need for high vacuum environments or extensive sample preparation. The integration of BO reduces experimental time by a factor of 50, overcoming the practical limitations of conventional GE-XANES and increasing its applicability in the study of surface catalysis and corrosion processes. We validate this optimized approach through comparative studies on a CrCoNi alloy and a reference layered sample, demonstrating its potential to revolutionize materials analysis by increasing both efficiency and accessibility.</abstract>
    <enrichment key="eventName">Gesellschaft Deutscher Chemiker (GDCh)</enrichment>
    <enrichment key="eventPlace">Clausthal-Zellerfeld, Germany</enrichment>
    <enrichment key="eventStart">20.06.2024</enrichment>
    <enrichment key="eventEnd">20.06.2024</enrichment>
    <enrichment key="InvitedTalks">0</enrichment>
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    <enrichment key="opus.doi.autoCreate">false</enrichment>
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    <author>Cafer Tufan Cakir</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>GEXRF</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>GEXANE</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ML</value>
    </subject>
    <collection role="ddc" number="543">Analytische Chemie</collection>
    <collection role="institutes" number="">6 Materialchemie</collection>
    <collection role="institutes" number="">6.3 Strukturanalytik</collection>
    <collection role="themenfelder" number="">Chemie und Prozesstechnik</collection>
    <collection role="themenfelder" number="">Chemische Charakterisierung und Spurenanalytik</collection>
    <collection role="fulltextaccess" number="">Datei im Netzwerk der BAM verfügbar ("Closed Access")</collection>
    <collection role="literaturgattung" number="">Präsentation</collection>
  </doc>
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