PATENT CLAIM ANALYSIS

Application Number: 16103850
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["427", "058000"]

Abstract:
A method for manufacturing a capacitive deionization electrode exhibits enhanced ionic material adsorption efficiency. The method includes (a) kneading an electrode active material while adding a solvent to the electrode active material; (b) adding a solvent to the mixture obtained after (a) and stirring the result; and (c) preparing an electrode slurry by adding a binder to the mixture obtained after (b) and stirring the result. According to the method, a problem of a binder blocking electrode pores, which used to occur when using existing methods, is resolved by increasing mixing efficiency of the binder while using an electrode active material having a high specific surface area. A capacitive deionization electrode having very superior ionic material adsorption efficiency may be manufactured using the method.

Claim (Index 1):
A method for manufacturing a capacitive deionization electrode, the method comprising:\n (a) kneading an electrode active material while adding a solvent to the electrode active material; (b) adding a solvent to the mixture obtained after (a) and stirring the result; and (c) preparing an electrode slurry by adding a binder to the mixture obtained after (b) and stirring the result.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 2.13433
- Patent Class: 427.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['12141535', '15114280', '14573522', '14521985', '12533777']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8000282320905896
- 35 USC 102 Novelty (BERT): 0.5076009067703819
- Combined Prediction Score: 0.7707854995585689
- Mean Citation Score: 227.08601200000004
- Max Citation Score: 250.20316
- Similarity Product: 167.39988025814532

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

Dataset: test