PATENT CLAIM ANALYSIS

Application Number: 15918457
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-09
Patent Classification: ["029", "623500"]

Abstract:
A method of manufacturing a negative electrode for a non-aqueous electrolyte secondary battery includes the following. A negative electrode composite material layer including a planar region and a side-surface region is formed. An application material is prepared by mixing heat-resistant particles, thermoplastic resin particles, and a solvent. A planar coating film is formed by applying the application material to the planar region and a side-surface coating film is formed by applying the application material to the side-surface region. At least some of the thermoplastic resin particles are molten into a melt by heating the planar coating film at a temperature not lower than a melting point of the thermoplastic resin particles. A negative electrode is manufactured by drying the planar coating film containing the melt and the side-surface coating film containing the thermoplastic resin particles at a temperature lower than the melting point of the thermoplastic resin particles.

Claim (Index 2):
The method of manufacturing a negative electrode for a non-aqueous electrolyte secondary battery according to  claim 1 , wherein\n the planar coating film is heated at the temperature not lower than the melting point of the thermoplastic resin particles through induction heating.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 90.0
- Lexical Diversity: 2.64407
- Patent Class: 29.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13778937', '13059095', '11790544', '12212041', '15015433']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8872527155451686
- 35 USC 102 Novelty (BERT): 0.4988055205125724
- Combined Prediction Score: 0.8484079960419091
- Mean Citation Score: 243.904386
- Max Citation Score: 264.5989
- Similarity Product: 203.7305496238232

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