Patents by Inventor Anatoly Burov

Anatoly Burov 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: 11966156
    Abstract: A system for mask design repair may develop a simulation-based model of a layer thickness after one or more process steps for fabricating features on a sample, develop a transformed model of the fabrication process that emulates the simulation-based model and has a faster evaluation speed than the simulation-based model, and where the inputs to the transformed model include the input mask design, and where the outputs of the transformed model include one or more output parameters associated with fabrication of the input mask design as well as one or more sensitivity metrics describing sensitivities of the one or more output parameters to variations of the input mask design. The system may further receive a candidate mask design and generate a repaired mask design based on the transformed model and the candidate mask design.
    Type: Grant
    Filed: August 8, 2023
    Date of Patent: April 23, 2024
    Assignee: KLA Corporation
    Inventors: Pradeep Vukkadala, Guy Parsey, Kunlun Bai, Xiaohan Li, Anatoly Burov, Cao Zhang, John S. Graves, John Biafore
  • Publication number: 20240061327
    Abstract: A system for mask design repair may develop a simulation-based model of a layer thickness after one or more process steps for fabricating features on a sample, develop a transformed model of the fabrication process that emulates the simulation-based model and has a faster evaluation speed than the simulation-based model, and where the inputs to the transformed model include the input mask design, and where the outputs of the transformed model include one or more output parameters associated with fabrication of the input mask design as well as one or more sensitivity metrics describing sensitivities of the one or more output parameters to variations of the input mask design. The system may further receive a candidate mask design and generate a repaired mask design based on the transformed model and the candidate mask design.
    Type: Application
    Filed: August 8, 2023
    Publication date: February 22, 2024
    Inventors: Pradeep Vukkadala, Guy Parsey, Kunlun Bai, Xiaohan Li, Anatoly Burov, Cao Zhang, John S. Graves, John Biafore
  • Publication number: 20220129775
    Abstract: A mask pattern for a semiconductor device can be used as an input to determine a photoresist thickness probability distribution using a machine learning module. For example, the machine learning module can determine a probability map of Z-height. This can be used to determine stochastic variation in photoresist thickness for a semiconductor device. The Z-height may be calculated at a coordinate in the X-direction and Y-direction.
    Type: Application
    Filed: June 2, 2021
    Publication date: April 28, 2022
    Inventors: Anatoly Burov, Guy Parsey, Kunlun Bai, Pradeep Vukkadala, Cao Zhang, John S. Graves, Xiaohan Li, Craig Higgins