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:
Nov. 08, 2022

Filed:

Dec. 05, 2019
Applicants:

Toyota Research Institute, Inc., Los Altos, CA (US);

California Institute of Technology, Pasadena, CA (US);

Inventors:

Santosh Suram, Mountain View, CA (US);

John M. Gregoire, Sierra Madre, CA (US);

Brian Rohr, Menlo Park, CA (US);

Helge Stein, Pasadena, CA (US);

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G01N 27/413 (2006.01); G06K 9/62 (2022.01); G06N 20/00 (2019.01); G05B 13/04 (2006.01); G05B 13/02 (2006.01);
U.S. Cl.
CPC ...
G01N 27/413 (2013.01); G05B 13/028 (2013.01); G05B 13/048 (2013.01); G06K 9/6256 (2013.01); G06N 20/00 (2019.01);
Abstract

Methods and systems described herein concern machine-learning-assisted materials discovery. One embodiment selects a candidate sample set including a plurality of compositions and performs the following operations iteratively: (1) selects an acquisition sample set, (2) performs a dark electrocatalyst experiment or a photo-electrocatalyst experiment on the compositions in the acquisition sample set to determine one or more properties, (3) trains a machine learning model using the one or more properties, and (4) predicts, based at least in part on one or more outputs of the machine learning model, the one or more properties for one or more compositions in a test sample set including compositions on which an experiment has not yet been performed. When one or more predetermined termination criteria have been satisfied, the embodiment also identifies one or more compositions in the candidate sample set for which the one or more properties satisfy predetermined performance criteria.


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