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:
Jul. 14, 2026

Filed:

Aug. 15, 2022
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Omer Tanay Topac, Stanford, CA (US);

Mohamad Mehdi Nasr-Azadani, San Francisco, CA (US);

Sanjoy Paul, Sugar Land, TX (US);

Aaron Jacob Crow, San Lorenzo, CA (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 119/02 (2020.01); G06N 3/02 (2006.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06N 3/02 (2013.01); G06F 2119/02 (2020.01);
Abstract

The present disclosure relates to systems, methods, and products for adaptive design and optimization using a physics-informed neural network (PINN). The system includes a non-transitory memory and a processor. The processor executes instructions to cause the system to: input collocation points and design parameters into the PINN to obtain an output; calculate a loss function based on a set of governing equations and the output; determine whether the PINN is convergent based on the calculated loss function; in response to the PINN being convergent, export the PINN; and in response to the PINN not being convergent: determine whether to resample the collocation points; determine an optimum number of collocation points; determine a set of optimal network parameters for adjusting the PINN; and input the collocation points and the set of optimal network parameters to the PINN for a next iteration.


Find Patent Forward Citations

Topac, Omer. (2026). Adaptive design and optimization using physics-informed neural networks (U.S. Patent No. 12682139). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12682139

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

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