Systems and methods for diversity-enhanced adaptive experimentation in a machine learning-based formulation platform
US12079697B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 9, 2023 |
| Grant date | Sep 3, 2024 |
| Priority date | — |
| Expiry date | Feb 9, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method and system for adaptively generating experimental product formulations for accelerating a formulation design of a target product includes constructing a formulation objective function based on a plurality of distinct product-informative formulation parameters of the target product; generating, via a formula-generating machine learning model, a distinct set of product formulation parameter values based on the formulation objective function; constructing a corpus of experimental findings data based on the distinct set of product formulation parameter values generated by the formula-generating machine learning model; automatically adapting the formula-generating machine learning model based on the corpus of experimental findings that accelerate the formulation design of the target product; and generating, via the adapted formula-generating machine learning model, an adapted set of product formulation parameter values that satisfies the one or more formulation objectives thereby enabling an accelerated creation of the target product.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.