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. 21, 2025

Filed:

Oct. 01, 2021
Applicant:

North Carolina State University, Raleigh, NC (US);

Inventors:

William Lawrence Ditto, Wake Forest, NC (US);

John Florian Lindner, Wooster, OH (US);

Sudeshna Sinha, Punjab, IN;

Scott Thomas Miller, Brooklyn, NY (US);

Anshul Choudhary, Raleigh, NC (US);

Elliott Gregory Holliday, Durham, NC (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/088 (2023.01); G06N 3/04 (2023.01); G06N 3/045 (2023.01);
U.S. Cl.
CPC ...
G06N 3/0418 (2013.01); G06N 3/045 (2023.01); G06N 3/088 (2013.01);
Abstract

Methods, systems, and computer readable media for utilizing an augmented neural network are disclosed. In one embodiment, the method includes utilizing a neural network (NN) pre-processor to convert generic coordinates associated with a dynamical system to canonical coordinates, concatenating a Hamiltonian neural network (HNN) to the NN pre-processor to create a generalized HNN, and training the generalized HNN to learn nonlinear dynamics present in the dynamical system from generic training data. The method also includes utilizing the trained generalized HNN to forecast the nonlinear dynamics, and quantifying chaotic behavior from the forecasted nonlinear dynamics to discover and map one or more transitions between orderly states and chaotic states exhibited by the dynamical system.


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