Patents by Inventor Feizhi Ding

Feizhi Ding 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: 20220165364
    Abstract: Systems and methods for determining molecular structures based on atomic-orbital-based features are described. Atomic-orbital-based features can be utilized in combination with machine-learning methods to predict accurate properties, such as quantum mechanical energy, of molecular systems.
    Type: Application
    Filed: May 27, 2021
    Publication date: May 26, 2022
    Applicants: California Institute of Technology, Entos, Inc.
    Inventors: Zhuoran Qiao, Animashree Anandkumar, Thomas Francis Miller, Matthew Gregory Welborn, Frederick Roy Manby, Feizhi Ding, Daniel George Smith, Peter John Bygrave, Sai Krishna Sirumalla, Anders Steen Christensen
  • Publication number: 20200294630
    Abstract: Systems and methods for determining molecular structures based on molecular-orbital-based (MOB) features are described. MOB features can be utilized in combination with machine-learning methods to predict accurate properties, such as quantum mechanical energy, of molecular systems.
    Type: Application
    Filed: March 12, 2020
    Publication date: September 17, 2020
    Applicant: California Institute of Technology
    Inventors: Thomas F. Miller, Matthew G. Welborn, Lixue Cheng, Tamara Husch, Jialin Song, Nikola Kovachki, Dmitry Burov, Ying Shi Teh, Anima Anandkumar, Feizhi Ding, Sebastian Lee, Zhuoran Qiao, Ali Sahin Lale