Invention Grant
- Patent Title: Systems and methods for prediction of polymer properties
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Application No.: US17604621Application Date: 2020-04-16
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Publication No.: US12002552B2Publication Date: 2024-06-04
- Inventor: Rampi Ramprasad , Anand Chandrasekaran , Chiho Kim
- Applicant: Georgia Tech Research Corporation
- Applicant Address: US GA Atlanta
- Assignee: Georgia Tech Research Corporation
- Current Assignee: Georgia Tech Research Corporation
- Current Assignee Address: US GA Atlanta
- Agency: Bockhop Intellectual Property Law, LLC
- Agent Bryan W. Bockhop
- International Application: PCT/US2020/028449 2020.04.16
- International Announcement: WO2020/214774A 2020.10.22
- Date entered country: 2021-10-18
- Main IPC: G16C60/00
- IPC: G16C60/00 ; G06N3/08 ; G16C20/30 ; G16C20/70

Abstract:
Disclosed herein is a polymer prediction system, comprising a deep learning neural network and a training dataset. The deep learning neural network can comprise: a property branch comprising two or more layers, each layer having a plurality of neurons; a polymer branch comprising two or more layers, each layer having a plurality neurons; and a merged layer including a concatenation operation, the concatenation operation configured to concatenate the property branch and the polymer branch. The training dataset can include a plurality of known polymers and a plurality of descriptors for each of the plurality of known polymers. Also disclosed herein are methods of using the same.
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