Patents by Inventor John Gookassian

John Gookassian 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: 11022966
    Abstract: An image-based Artificial Neural Networks (ANN) is used for photomask modeling, which can self-construct an internal representation of the photomask manufacturing process, therefore allowing the modeling process to become unfettered by the limitations of existing mathematical/statistical tools, thus greatly reduces/eliminates the effort needed from tedious and costly model-builders. The ANN model requires mask layout data converted into image pixel form. In ANN training phase a first circuit image and its existing SEM image are modeled via multiple layers of convolution and rectification to pick out the salient features of transformed image. In ANN testing phase, a second circuit image and its existing SEM image are compared and verified to have a difference smaller than the predetermined requirement. The satisfactory second circuit image is converted back from pixel form to circuit layout data for photomask writing.
    Type: Grant
    Filed: December 14, 2018
    Date of Patent: June 1, 2021
    Assignee: SYNOPSYS, INC.
    Inventors: Parikshit Kulkarni, Dan Hung, John Gookassian