AI Method for Determining Object Physical State Using PDEs
Summary
USPTO published patent application US20260093980A1 describing a computer-implemented method for generating training data using partial differential equations (PDEs) to determine the physical state of objects. The application, filed on September 28, 2025, covers methods for configuring PDE boundary conditions on basic shapes to derive solutions representing physical states. Inventors include Kaixuan Zhang, Jianing Huang, Youjia Wu, and Ze Cheng. This is a routine publication of a patent application under CPC classification G06N 3/08.
What changed
The USPTO published patent application US20260093980A1 for a computer-implemented method involving three steps: (1) generating a basic shape, (2) configuring boundary conditions for a partial differential equation on that shape's boundary, and (3) determining a PDE solution representing the physical state of an object. The training data is derived from the basic shape, boundary conditions, and solution. The application falls under CPC classification G06N 3/08 (machine learning using neural networks) and names four inventors.
This publication does not impose compliance deadlines or regulatory obligations on any party. Technology companies and manufacturers involved in AI research, scientific computing, physics-based simulations, or engineering analysis should note this intellectual property filing for competitive awareness. Patent applications are informational publications—entities are not required to take any action but may wish to review for potential freedom-to-operate concerns in related product development.
Archived snapshot
Apr 2, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Method and Apparatus for Determining the Physical State of an Object
Application US20260093980A1 Kind: A1 Apr 02, 2026
Inventors
Kaixuan Zhang, Jianing Huang, Youjia Wu, Ze Cheng
Abstract
A computer-implemented method for generating training data includes (i) generating a basic shape, (ii) configuring the boundary conditions associated with a first partial differential equation (PDE) for the boundary of the basic shape, and (iii) determining a solution of the first PDE for the basic shape based on the basic shape and the boundary conditions, wherein the solution represents the physical state of an object having the basic shape. The training data is obtained based on the basic shape, the boundary conditions, and the solution.
CPC Classifications
G06N 3/08
Filing Date
2025-09-28
Application No.
19342597
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