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.:
Date of Patent:
Nov. 18, 2025
Filed:
Mar. 23, 2020
Applicant:
Ansys, Inc., Canonsburg, PA (US);
Inventor:
Derek Christopher Hill, Grantham, NH (US);
Assignee:
ANSYS, INC., Canonsburg, PA (US);
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 17/13 (2006.01); G06F 18/21 (2023.01); G06F 30/23 (2020.01); G06N 3/084 (2023.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 111/10 (2020.01);
U.S. Cl.
CPC ...
G06F 30/27 (2020.01); G06F 17/13 (2013.01); G06F 18/217 (2023.01); G06F 30/23 (2020.01); G06N 3/084 (2013.01); G06N 20/00 (2019.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 2111/10 (2020.01);
Abstract
Simulations of products during the design of the products can use solvers that are based on trained neural networks, and these solvers can provide results about the design of the product that can predict performance, failures, fatigue and other potential problems with the design. The neural network can include a generative neural network that is trained with a discretized version of a partial differential equation (PDE) that provides a model of the product in the simulation, and this discretized version acts as a discriminator that trains the neural network to provide solutions to the PDE.