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:
Mar. 17, 2026

Filed:

Apr. 06, 2022
Applicant:

Genesee Valley Innovations, Llc, Santa Clara, CA (US);

Inventors:

Aaditya Chandrasekhar, Madison, WI (US);

Amirmassoud Mirzendehdel, San Mateo, CA (US);

Morad Behandish, San Mateo, CA (US);

Assignee:

Genesee Valley Innovations, LLC, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/23 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 30/23 (2020.01);
Abstract

A computer-implemented physics solver operates within a neural network framework. A neural network accepts a coordinate for each location within a design domain and outputs a local composition for each location. A model of the design domain is formed in a physics solver. The model includes discrete elements that encompass the design domain. A solution of the model provides a value of a design objective. For a plurality of iterations, the following is performed: the neural network determines current local compositions for the locations in the design domain corresponding to the discrete elements; the current local compositions are input into the discrete elements of the physics solver to obtain a current value of the design objective; and the current value of the design objective is used to find a loss gradient of a loss function. The loss gradient is used to update the neural network during the iterations.


Find Patent Forward Citations

Loading…