Materials artificial intelligence robotics-driven methods and systems
US12321854B2 · kind B2 · utility
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Key dates
| Filing date | Mar 17, 2021 |
| Grant date | Jun 3, 2025 |
| Priority date | — |
| Expiry date | Nov 2, 2043 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02E60/10
- WIPO fieldMeasurement
- WIPO sectorInstruments
Abstract
A system, computer program product and a method to predict an objective function based on a recipe, and generate, via a machine learning model, a plurality of proposed different recipes of battery materials for optimizing at least objective function. Instances of the different proposed recipes of battery materials are prepared and deposited into an electrochemical module by a robotic preparation module. A robotic testing module executes a plurality of formulation characteristic tests on each deposited recipe instance and updates the machine learning model with a result of at least one of the formulation characteristic tests.
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