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The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Patent No.:

US 12498683 B1

PDFFull Text
Date of Patent:
Dec. 16, 2025

Filed:

Apr. 18, 2024

Artificial intelligence and robot based automated material synthesis system

Applicant:

Hong Kong Quantum Ai Lab Limited, Hong Kong, HK;

Inventors:

Xiang Xiang, Hong Kong, HK;

Yi Luo, Hong Kong, HK;

Fei Sun, Hong Kong, HK;

Haoyu Zhu, Hong Kong, HK;

Guanhua Chen, Hong Kong, HK;

Shuguang Chen, Hong Kong, HK;

Assignee:

Hong Kong Quantum AI Lab Limited, Hong Kong, HK;

Attorneys:

IDEA Intellectual Limited

Sam T. Yip

Primary Examiner:

Jonathan L Sample

Int. Cl.
CPC ...
B25J 9/16 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G05B 13/027 (2013.01); B25J 9/1671 (2013.01); B25J 9/1697 (2013.01);
Abstract

An artificial intelligence (AI) and robot based automated material synthesis system including an AI model and a robotic system coupled to the AI model for material synthesis is provided. The AI and robot based automated material synthesis system of the present invention is 100% automated, thereby minimizing human intervention during the material synthesis experiments not only minimizing risks of accident and costs due to the labor-intensive nature of manual experimentation, but it also significantly increases the accuracy in the target material structure synthesized, and the synthesis could also be conducted in a highly reproducible manner with a much higher efficiency. The system also has its own mapping rules between materials properties and structures, for recommending materials based on desired properties, learnt from past experimental analysis results both qualitatively and quantitatively, therefore it can operate without being bound by the constraints of predefined structure-property relationships known by humans.

Find Patent Forward Citations

Xiang, Xiang. (2025). Artificial intelligence and robot based automated material synthesis system (U.S. Patent No. 12498683). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12498683

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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