Methods and systems for treating a heterogeneous mixture of materials
AssigneeSixone Labs Ltd.
InventorsJin SUNTIVICH, Christopher WAI
Life of this patent
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Abstract
A system and method for classifying a material in a heterogeneous mixture of materials, and predicting a processing method for treating the material are disclosed. At least some of the heterogeneous mixture of material pieces comprise different chemical information such as different chemical composition and/or physical characteristics. Embodiments of the system and method of the present invention use machine learning to classify and predict a processing protocol for material pieces based on the chemical compositions or reactivities of each of the material pieces.
Claims20
A system for predicting a processing protocol for treating a heterogeneous mixture of materials, comprising:
- one or more sensor systems;
- one or more reactors;
- one or more downstream data analysis systems;
- a computer system operatively connected to the one or more sensor systems and
- the reactor, the computer system configured to perform the steps of:
- receiving, from the one or more sensors, a materials information about a material from a control set of materials;
- receiving, from the one or more downstream data analysis systems, training results from analysis of an output of the material upon treating the material with a processing protocol from a plurality of processing protocols that identify conditions for processing materials;
- creating a machine-learning model by training a machine-learning algorithm using the materials information, the processing protocol, and the training results from each of the plurality of experiments;
- receiving, from the one or more sensors, an input for a desired material for treating;
- creating, by the machine-learning model, a new processing protocol and grouping strategy for treating the desired material based on the input;
- receiving, from the one or more downstream data analysis systems, further training results from analysis of an output of the desired material upon treating the material with the new processing protocol;
- and
- updating the machine-learning model by further training the machine-learning algorithm by inputting the input, the new processing protocol, and the further training results.
A system for predicting a processing protocol for treating a heterogeneous mixture of materials, comprising:
- one or more sensor systems;
- one or more reactors;
- one or more downstream data analysis systems;
- a computer system operatively connected to the one or more sensor systems and the reactor, the computer system configured to perform the steps of:
- receiving, from the one or more sensors, an input for a desired material for treating;
- creating, by a machine-learning model, a new processing protocol and grouping strategy for treating the desired material based on the input, wherein the machine-learning model is created by training a machine-learning algorithm using a materials information, a processing protocol, and training results obtained from analyzing an output of a treatment from a plurality of experiments performed on a control set of materials;
- receiving, from the one or more downstream data analysis systems, further training results from analysis of an output of the desired material upon treating the material with the new processing protocol;
- and
- updating the machine-learning model by further training the machine-learning algorithm by inputting the input, the new processing protocol, and the further training results.
Dependencies are inferred from the claim text.