Patents Assigned to Entos, Inc.
  • 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