This inventor holds 1 USPTO granted patent. Top assignee: Deepmind Technologies Limited. Active years: 2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2025
Title: The Innovative Contributions of Tian Xie
Introduction
Tian Xie is a notable inventor based in Cambridge, MA (US). He has made significant strides in the field of material science through his innovative patent. His work focuses on predicting the properties of materials based on their physical structures, which has important implications for various industries.
Latest Patents
Tian Xie holds a patent titled "Predicting properties of materials from physical material structures." This patent encompasses methods, computer systems, and apparatuses, including computer programs encoded on computer storage media, for predicting one or more properties of a material. One of the methods described involves maintaining data that specifies a set of known materials, each with a respective known physical structure. The process includes receiving data for a new material, identifying similar known materials, determining a predicted embedding of the new material, and using an experimental prediction neural network to predict its properties.
Career Highlights
Tian Xie is currently employed at DeepMind Technologies Limited, where he applies his expertise in material science and computational methods. His innovative approach to predicting material properties has the potential to revolutionize how materials are developed and utilized in various applications.
Collaborations
Tian collaborates with talented individuals such as Annette Ada Nkechinyere Obika and Victor Constant Bapst. Their combined efforts contribute to advancing research and innovation in their respective fields.
Conclusion
Tian Xie's contributions to material science through his patent and work at DeepMind Technologies Limited highlight his role as an influential inventor. His innovative methods for predicting material properties are paving the way for future advancements in the industry.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
