Patents by Inventor Nihit Pokhrel

Nihit Pokhrel 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).

  • MATERIALS INFORMATION DATABASE INCLUDING MACHINE LEARNING MODELS
    Publication number: 20240394258
    Abstract: Examples are disclosed that relate to materials discovery using machine learning models. One example provides a method enacted on a computing system. The method comprises receiving a query comprising one or more of element information and material property information, and, based on the query, retrieving material data from a materials information database. The material data comprises structural information for each material within a set of materials matching the query, the set comprising one or more materials, and for one or more materials in the set of materials, one or more predicted material properties determined using one or more trained machine learning models. The method further comprises outputting the material data.
    Type: Application
    Filed: July 26, 2024
    Publication date: November 28, 2024
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Chi CHEN, Hongbin LIU, Andrea CEPELLOTTI, Mark A WOODLIEF, Nihit POKHREL, Adrian DUMITRASCU, Matthias TROYER, Nathan Andrew BAKER
  • Materials information database including machine learning models
    Patent number: 12124452
    Abstract: Examples are disclosed that relate to materials discovery using machine learning models. One example provides a method enacted on a computing system. The method comprises receiving a query comprising one or more of element information and material property information, and, based on the query, retrieving material data from a materials information database. The material data comprises structural information for each material within a set of materials matching the query, the set comprising one or more materials, and for one or more materials in the set of materials, one or more predicted material properties determined using one or more trained machine learning models. The method further comprises outputting the material data.
    Type: Grant
    Filed: May 22, 2023
    Date of Patent: October 22, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Chi Chen, Hongbin Liu, Andrea Cepellotti, Mark A Woodlief, Nihit Pokhrel, Adrian Dumitrascu, Matthias Troyer, Nathan Andrew Baker