Invention Application
- Patent Title: MACHINE LEARNING-BASED POLYMER SURFACE ENERGY PREDICTION SYSTEM
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Application No.: PCT/IB2022/057222Application Date: 2022-08-03
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Publication No.: WO2023012700A1Publication Date: 2023-02-09
- Inventor: VENKATRAM, Shruti , ROSS, Richard B.
- Applicant: 3M INNOVATIVE PROPERTIES COMPANY
- Applicant Address: 3M Center
- Assignee: 3M INNOVATIVE PROPERTIES COMPANY
- Current Assignee: 3M INNOVATIVE PROPERTIES COMPANY
- Current Assignee Address: 3M Center
- Agency: SRINIVASAN, Sriram et al.
- Priority: US63/203,965 2021-08-05
- Main IPC: G16C60/00
- IPC: G16C60/00 ; G06N3/00
Abstract:
A method includes determining a plurality of molecular descriptors, each molecular descriptor of the plurality of molecular descriptors associated with at least one of an atomic scale property, a molecular scale property, and a compound-scale property. The method further includes selecting, by a selection operator and based on a minimization of an error, a subset of the plurality of molecular descriptors that affect a polymer surface energy, training a machine learning model to predict a polymer surface energy of a given polymer based on the subset of molecular descriptors and predicting, via the trained machine learning model, a surface energy of an input polymer.
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