Critical-Dimension Grazing-Incidence Small Angle X-Ray Scattering: Enhancing the latent signal using Bragg scattering

ORAL

Abstract

The semiconductor industry is continuously pushing the limits of photolithography, with feature sizes now under 10 nm. X-ray scattering1 has emerged as a possible contender to determine the average shape of a line grating with a sub-nanometer precision. However, to fulfill its promise, faster algorithms must also be developed to interpret and extract metrics from reciprocal space scattering data. We are presenting a novel, fast, and accurate X-ray technique and analysis algorithm: Critical Dimension Grazing Incidence X-ray Scattering, CD-GISAXS

The CD-GISAXS technique operates in grazing incidence configuration with a continuous azimuthal rotation of the sample, thus does not require high-energy X-rays to penetrate the wafer and greatly reduces the data acquisition times, permitting analysis within the framework of the DWBA. The Bragg rods coming from the line gratings, intersect with the momentum transfer vector of the elastic X-ray scattering at a single point above the horizon. The Bragg rods can be scanned by rotating the momentum transfer vector, and therefore the sample.

[1] D. Sunday et al, Journal of Micro/Nanolithography, MEMS, and MOEMS, 2013

Presenters

  • Dinesh Kumar

    Computational Research, Lawrence Berkeley National Laboratory, Advanced Light Source, Lawrence Berkeley National Laboratory

Authors

  • Dinesh Kumar

    Computational Research, Lawrence Berkeley National Laboratory, Advanced Light Source, Lawrence Berkeley National Laboratory

  • Guillaume Freychet

    Advanced Light Source, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory

  • Isvar Cordova

    Advanced Light Source, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory

  • Joseph Walter Strzalka

    X-ray Science Divison, Argonne National Laboratory

  • Patrick Naulleau

    Center for X-ray Optics, Lawrence Berkeley National Laboratory, Advanced Light Source, Lawrence Berkeley National Laboratory

  • Ronald J Pandolfi

    Computational Research, Lawrence Berkeley National Laboratory

  • Peter Ercius

    Molecular Foundry, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory

  • Chengyu Song

    Molecular Foundry, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Laboratory, Molecular Foundry, Lawrence Berkeley National Lab

  • Alexander Hexemer

    Advanced Light Source, Lawrence Berkeley National Laboratory, Lawrence Berkeley National Lab, Lawrence Berkeley National Laboratory