PATENT CLAIM ANALYSIS

Application Number: 15752105
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["429", "209000"]

Abstract:
The present invention relates to a method of manufacturing an electrode current collector for a secondary battery and an electrode including an electrode current collector manufactured using the method. In particular, provided herein are a method of manufacturing an electrode current collector for a secondary battery which includes forming a CNT coating layer on a surface of an electrode current collector to increase electrical conductivity, and an electrode including an electrode current collector manufactured according to the method.

Claim (Index 1):
A method of manufacturing an electrode current collector for a secondary battery, the method comprising:\n preparing a carbon nanotube (CNT) dispersion by dispersing CNTs in a dispersion solvent; forming a CNT film on a water surface by spraying the CNT dispersion onto water; forming a CNT coating layer on metal foil by transferring the metal foil in a roll-to-roll manner after being unwound while passing through the water at an angle such that one surface of the metal foil is brought into contact with one end of the CNT film formed on the water surface; and curing the CNT coating layer by heat treatment while rewinding the metal foil with the CNT coating layer formed thereon.

Metadata:
- Claim Count in Document: 36.0
- Percentile: 88.0
- Lexical Diversity: 2.05
- Patent Class: 429.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['14428074', '10529487', '15271392', '15636920', '12230631']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8458839229657474
- 35 USC 102 Novelty (BERT): 0.4835182246199428
- Combined Prediction Score: 0.809647353131167
- Mean Citation Score: 192.797918
- Max Citation Score: 196.3143
- Similarity Product: 143.76438711562156

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

Dataset: test