Patents by Inventor Charles Tong

Charles Tong 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).

  • TESTING A SEMICONDUCTOR DEVICE USING X-RAYS
    Publication number: 20240103072
    Abstract: Embodiments described herein may be related to apparatuses, processes, systems, and/or techniques for using x-rays to alter or observe circuits within a semiconductor device before, during or after a test of the semiconductor device. Other embodiments may be described and/or claimed.
    Type: Application
    Filed: September 23, 2022
    Publication date: March 28, 2024
    Inventors: Patrick PARDY, Kimberlee CELIO, Sanchari SEN, May Ling OH, Shuai ZHAO, Joshua W. KEVEK, Evgeny Gregory NISENBOIM, Amir RAVEH, Boris SIMKHOVICH, Charles A. PETERSON, Kevin JOHNSON, Martin Eric Gostasson VON HAARTMAN, Eli ABU AYOB, Xianghong TONG
  • Computational framework for modeling of physical process
    Patent number: 11914937
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Grant
    Filed: February 13, 2023
    Date of Patent: February 27, 2024
    Assignees: LAWRENCE LIVERMORE NATIONAL SECURITY, LLC, VIRGINIA TECH INTELLECTUAL PROPERTIES, INC.
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong, Yijun Xu, Lamine Mili
  • COMPUTATIONAL FRAMEWORK FOR MODELING OF PHYSICAL PROCESS
    Publication number: 20230205955
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Application
    Filed: February 13, 2023
    Publication date: June 29, 2023
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong, Yijun Xu, Lamine Mili
  • Computational framework for modeling of physical process
    Patent number: 11580280
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Grant
    Filed: December 19, 2019
    Date of Patent: February 14, 2023
    Assignee: Lawrence Livermore National Security, LLC
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong
  • COMPUTATIONAL FRAMEWORK FOR MODELING OF PHYSICAL PROCESS
    Publication number: 20200202057
    Abstract: Techniques, systems, and devices are described for providing a computational frame for estimating high-dimensional stochastic behaviors. In one exemplary aspect, a method for performing numerical estimation includes receiving a set of measurements of a stochastic behavior. The set of correlated measurements follows a non-standard probability distribution and is non-linearly correlated. Also, a non-linear relationship exists between a set of system variables that describes the stochastic behavior and a corresponding set of measurements. The method includes determining, based on the set of measurements, a numerical model of the stochastic behavior. The numerical model comprises a feature space comprising non-correlated features corresponding to the stochastic behavior. The non-correlated features have a dimensionality of M and the set of measurements has a dimensionality of N, M being smaller than N.
    Type: Application
    Filed: December 19, 2019
    Publication date: June 25, 2020
    Inventors: Xiao Chen, Can Huang, Liang Min, Charanraj Thimmisetty, Charles Tong