PATENT CLAIM ANALYSIS

Application Number: 15877990
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-06
Patent Classification: ["427", "458000"]

Abstract:
Embodiments described herein relate generally to the production of graphene/polymer compounds. In some embodiments, a method for producing graphene/polymer compounds includes compounding graphene nanoflakes with non-conductive polymer hosts via electrospray coating techniques, taking advantage of the highly electrostatically chargeable properties of graphene to de-agglomerate and further exfoliate the graphene nanoflakes in-situ, and providing uniform and well-dispersed graphene nanoflake coating on various non-conductive polymer hosts, such as polymer fine particles, pellets, fibers, fabrics, non-woven, film, and formed articles. In some embodiments, the deposition of the graphene nanoflakes onto the hosts may be performed in combination with other components, such as but not limited to metal oxides and polymers. The method can be a batch or a continuous process, and is suitable for large scale production of graphene coated materials such as graphene/polymer compound, which can be further processed by, for example, extrusion, compression molding, or injection molding, to yield formed articles.

Claim (Index 11):
The coating method of  claim 10 , wherein the salt content in the dispersion solution is about 5% by weight or less relative to the total weight of the dispersion solution.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.78351
- Patent Class: 427.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15163247', '15413804', '15854419', '14978566', '15270855']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7860365536366666
- 35 USC 102 Novelty (BERT): 0.5191417791064307
- Combined Prediction Score: 0.7593470761836429
- Mean Citation Score: 222.940522
- Max Citation Score: 236.7876
- Similarity Product: 145.97107784407137

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test