The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Sep. 29, 2020

Filed:

Oct. 15, 2019
Applicant:

Corning Incorporated, Corning, NY (US);

Inventors:

Sushmit Sunil Kumar Goyal, Painted Post, NY (US);

Franklin Langlang Lee, Painted Post, NY (US);

Adama Tandia, Nelson, PA (US);

Mardochee Reveil, Ithaca, NY (US);

Assignee:

Corning Incorporated, Corning, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/48 (2006.01); G01N 33/50 (2006.01); G16C 20/20 (2019.01); G16C 20/70 (2019.01); G06N 3/12 (2006.01); G16C 20/40 (2019.01); G16C 20/10 (2019.01);
U.S. Cl.
CPC ...
G16C 20/20 (2019.02); G06N 3/126 (2013.01); G16C 20/10 (2019.02); G16C 20/40 (2019.02); G16C 20/70 (2019.02);
Abstract

Techniques for screening homopolymers, copolymers or blends for fabrication are disclosed. A data repository stores data points. Each data point comprises a structural repeating unit (SRU) and at least one material property value for the SRU. Each SRU is a homopolymer SRU, a copolymer component SRU or a blend component SRU. A machine determines a fingerprint for at least a subset of the SRUs in the data repository. The machine stores, in the data repository, each determined fingerprint in conjunction with a corresponding SRU. The machine generates a quantitative modeling engine to predict material property values, based on SRUs, for homopolymers, copolymers or blends. The quantitative modeling engine is based, at least in part, on the fingerprints. The machine identifies, using the quantitative modeling engine, at least one homopolymer SRU, copolymer SRU set or blend SRU set that has a material property value within a given range.


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