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Millisecond X-ray reflectometry and neural network analysis: unveiling fast processes in spin coating

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F24%3A00135826" target="_blank" >RIV/00216224:14310/24:00135826 - isvavai.cz</a>

  • Result on the web

    <a href="https://journals.iucr.org/j/issues/2024/02/00/jo5099/index.html" target="_blank" >https://journals.iucr.org/j/issues/2024/02/00/jo5099/index.html</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1107/S1600576724001171" target="_blank" >10.1107/S1600576724001171</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Millisecond X-ray reflectometry and neural network analysis: unveiling fast processes in spin coating

  • Original language description

    X-ray reflectometry (XRR) is a powerful tool for probing the structural characteristics of nanoscale films and layered structures, which is an important field of nanotechnology and is often used in semiconductor and optics manufacturing. This study introduces a novel approach for conducting quantitative high-resolution millisecond monochromatic XRR measurements. This is an order of magnitude faster than in previously published work. Quick XRR (qXRR) enables real time and in situ monitoring of nanoscale processes such as thin film formation during spin coating. A record qXRR acquisition time of 1.4 ms is demonstrated for a static gold thin film on a silicon sample. As a second example of this novel approach, dynamic in situ measurements are performed during PMMA spin coating onto silicon wafers and fast fitting of XRR curves using machine learning is demonstrated. This investigation primarily focuses on the evolution of film structure and surface morphology, resolving for the first time with qXRR the initial film thinning via mass transport and also shedding light on later thinning via solvent evaporation. This innovative millisecond qXRR technique is of significance for in situ studies of thin film deposition. It addresses the challenge of following intrinsically fast processes, such as thin film growth of high deposition rate or spin coating. Beyond thin film growth processes, millisecond XRR has implications for resolving fast structural changes such as photostriction or diffusion processes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10302 - Condensed matter physics (including formerly solid state physics, supercond.)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2024

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Applied Crystallography

  • ISSN

    1600-5767

  • e-ISSN

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    2

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    10

  • Pages from-to

    314-323

  • UT code for WoS article

    001208800100011

  • EID of the result in the Scopus database

    2-s2.0-85189944139