Patent ID: 11915105
Assignee: IMAGARS LLC
Field: Materials, metallurgy (Chemistry)
Classification: CPC G  B  C  Y | IPC B  G

Claim 11:
12. A method for predictive analytics, one that incorporates a prediction step, for the purpose of efficiently searching composition space of alloys or composites of interest, and hence for accelerating design or manufacturing of alloys or composites with desired material characteristics, a method utilizing
a database importing step, for ingesting materials or manufacturing data,
an optional preprocessing step, for unified comparison of materials or manufacturing data across data sets,
an optional feature selection step, for extracting the features primarily impacting the material properties of interest,
a prediction step, for predicting material properties or manufacturing parameters of interest, along with a corresponding composition or composition range, given the materials or manufacturing data ingested, where the prediction step employs a prediction technique, where the prediction step combines physics-based models, or analytical models, specific to alloys or composites of interest, with traditional black-box prediction models, for improved prediction accuracy, and where the prediction technique employed can involve regression analysis, with relatively few unknown model parameters, when limited data is available, but a machine learning predictor, with relatively many unknown model parameters, when a sufficiently large data set is available, where the prediction technique is selected such that at least one data point is available for each unknown prediction model parameter, and
a reporting and evaluation step, for reporting or evaluating the materials properties or manufacturing parameters of interest.