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.

Date of Patent:
Oct. 13, 2026

Filed:

Aug. 04, 2023
Applicants:

Nissan North America, Inc., Franklin, TN (US);

United States of America As Represented BY the Administrator of Nasa, Washington, DC (US);

Inventors:

Balachandran Gadaguntla Radhakrishnan, Palo Alto, CA (US);

Shigemasa Kuwata, Palo Alto, CA (US);

Masanobu Uchimura, Palo Alto, CA (US);

Yasushi Ichikawa, Hayama-machi, JP;

William Curtis Tucker, San Jose, CA (US);

Lauren J. Abbott, San Jose, CA (US);

Ewa Papajak, Berkley, CA (US);

Andrew Pablo Santos, Alameda, CA (US);

Krishnan Swaminathan Gopalan, Milpitas, CA (US);

Justin B. Haskins, San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G16C 20/30 (2019.01); G01N 25/12 (2006.01); G16C 20/70 (2019.01);
U.S. Cl.
CPC ...
G16C 20/30 (2019.02); G01N 25/12 (2013.01); G16C 20/70 (2019.02);
Abstract

A system can train a machine learning model to predict one or more properties of a molecule. The one or more properties may include a temperature of fusion and/or an entropy of fusion. The machine learning model can be trained based on a sample of molecules from a plurality of molecules. The system can apply the machine learning model to the plurality of molecules to predict the one or more properties for molecules of the plurality of molecules. The system can determine a plurality of candidate molecules from the plurality of molecules. The plurality of candidate molecules may be determined based on the one or more properties predicted for molecules of the plurality of molecules. The system can determine a target molecule of the plurality of candidate molecules to implement in a refrigeration system.


Find Patent Forward Citations

Radhakrishnan, Balachandran. (2026). Determining molecules to implement in refrigeration systems (U.S. Patent No. 12763173). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12763173

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

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