Patents by Inventor Shaoze Fan

Shaoze Fan 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).

  • Publication number: 20250252231
    Abstract: A method, computer system, and a computer program product are provided. A trained machine learning model is used to predict performance of a semiconductor circuit. The using includes inputting, to the trained machine learning model, semiconductor physical characteristics of the semiconductor circuit and in response receiving, as output from the trained machine learning model, predicted performance characteristics for the semiconductor circuit. The trained machine learning model was trained on training data obtained from a prior known semiconductor circuit.
    Type: Application
    Filed: February 1, 2024
    Publication date: August 7, 2025
    Inventors: Xin Zhang, Shun Zhang, Shaoze Fan, Yilan Gu, John Maxwell Cohn, Chuang Gan
  • Publication number: 20250068821
    Abstract: Methods and systems for circuit generation include generating a circuit design. Paths are extracted from the circuit design, with the paths representing sequences of connected circuit components from one terminal of the circuit to another. The extracted paths are embedded as respective vectors in a latent space. A property of the circuit design is determined using an ensemble of trained surrogate models that accept a sequence of the vectors as input.
    Type: Application
    Filed: August 25, 2023
    Publication date: February 27, 2025
    Inventors: Shun Zhang, Xin Zhang, Shaoze Fan, Ningyuan Cao, Jing Li, Xiaoxiao Guo, Chuang Gan
  • Publication number: 20240394508
    Abstract: A computing device includes a processor and a storage device coupled to the processor. The storage device stores instructions to cause the processor to perform acts to provide a circuit performance modeling. The acts include identifying and extracting paths of an electric circuit between a plurality of designated components that represent the electric circuit; converting at least one of the extracted paths to a path embedding comprising a vector of a fixed length; and predicting, by a circuit representation-learning model, characteristics of the designated components that represent the electric circuit based on an input of circuit parameters of the electric circuit.
    Type: Application
    Filed: May 24, 2023
    Publication date: November 28, 2024
    Inventors: Shun Zhang, Xin Zhang, Shaoze Fan, Jing Li, Ningyuan Cao, Xiaoxiao Guo, Chuang Gan
  • Patent number: 11989068
    Abstract: Described aspects include a system for optimizing performance of a functional circuit unit, a method of optimizing performance of a functional circuit unit, and a computer program product. In one embodiment, the system may include a functional circuit unit having an associated cooling device and power converter, one or more sensors for the functional circuit unit, the one or more sensors including a power sensor and a temperature sensor, and a first machine learning model. The first machine learning model may be adapted to receive temperature data and power data from the one or more sensors, and to generate control signals for the cooling device and the power converter to optimize performance of the functional circuit unit.
    Type: Grant
    Filed: June 29, 2022
    Date of Patent: May 21, 2024
    Assignee: International Business Machines Corporation
    Inventors: Xin Zhang, Shun Zhang, Shaoze Fan, Xiaoxiao Guo, Chuang Gan
  • Publication number: 20240095435
    Abstract: A method, system, and computer program product for circuit design automation. The method identifies a set of circuit components for a proposed circuit design. A subset of circuit components is selected to generate an initial topology for the proposed circuit design. A set of subsequent topologies are iteratively generated by a heuristic search algorithm based on the subset of circuit components and the initial topology. A set of valid topologies of the set of subsequent topologies are determined by a circuit simulator based on the subset of circuit components and a set of connections within the set of subsequent topologies. The method generates the proposed circuit design from the set of valid topologies.
    Type: Application
    Filed: September 15, 2022
    Publication date: March 21, 2024
    Inventors: Shun Zhang, Xin Zhang, Shaoze Fan, Ningyuan Cao, Jing Li, Xiaoxiao Guo, Chuang Gan
  • Publication number: 20240004443
    Abstract: Described aspects include a system for optimizing performance of a functional circuit unit, a method of optimizing performance of a functional circuit unit, and a computer program product. In one embodiment, the system may include a functional circuit unit having an associated cooling device and power converter, one or more sensors for the functional circuit unit, the one or more sensors including a power sensor and a temperature sensor, and a first machine learning model. The first machine learning model may be adapted to receive temperature data and power data from the one or more sensors, and to generate control signals for the cooling device and the power converter to optimize performance of the functional circuit unit.
    Type: Application
    Filed: June 29, 2022
    Publication date: January 4, 2024
    Inventors: Xin Zhang, Shun Zhang, Shaoze Fan, Xiaoxiao Guo, Chuang Gan