Patents by Inventor Bindi Nagda

Bindi Nagda has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 12449386
    Abstract: Methods and systems for performing X-ray model based scatterometry measurements of semiconductor structures with reduced computational effort are described herein. More specifically, measured detector image data is transformed to diffraction order efficiency data. The measured diffraction order efficiency data is compared with a parameter-efficiency library including simulated diffraction order efficiency data and associated sets of specimen parameter values. One or more sets of specimen parameter values are selected as seed values for regression on the measured detector image data based on the fit between the measured and simulated diffraction order efficiency data. The seed values are provided as initial values of one or more parameters of interest for the first iteration of the regression. The seed values enable the image based regression to converge to the global minimum with a dramatically reduced number of iterations.
    Type: Grant
    Filed: September 12, 2023
    Date of Patent: October 21, 2025
    Assignee: KLA Corporation
    Inventors: Rebecca Shen, Naga Venkata Lakshmi Sandeep Inampudi, Boxue Chen, Bindi Nagda, John J. Hench, William McGahan
  • Publication number: 20250085241
    Abstract: Methods and systems for performing X-ray model based scatterometry measurements of semiconductor structures with reduced computational effort are described herein. More specifically, measured detector image data is transformed to diffraction order efficiency data. The measured diffraction order efficiency data is compared with a parameter-efficiency library including simulated diffraction order efficiency data and associated sets of specimen parameter values. One or more sets of specimen parameter values are selected as seed values for regression on the measured detector image data based on the fit between the measured and simulated diffraction order efficiency data. The seed values are provided as initial values of one or more parameters of interest for the first iteration of the regression. The seed values enable the image based regression to converge to the global minimum with a dramatically reduced number of iterations.
    Type: Application
    Filed: September 12, 2023
    Publication date: March 13, 2025
    Inventors: Rebecca Shen, Sandeep Inampudi, Boxue Chen, Bindi Nagda, John J. Hench, William McGahan