PATENT CLAIM ANALYSIS

Application Number: 15992586
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-09
Patent Classification: ["428", "402000"]

Abstract:
A method of producing a carbon nanostructure is provided that enables production of a high-quality carbon nanostructure with a high yield. The method of producing a carbon nanostructure includes supplying a feedstock gas to a catalyst and growing a carbon nanostructure by chemical vapor deposition. A gas X that is derived from the feedstock gas and that comes into contact with the catalyst contains a hydrocarbon A having at least one cyclopentadiene skeleton and a hydrocarbon B having at least one acetylene skeleton. A total volume concentration [A] of the hydrocarbon A is at least 0.06%.

Claim (Index 1):
Carbon nanotubes having a specific surface area of from 600 m 2 /g to 2,500 m 2 /g and having a purity of at least 98% according to X-ray fluorescence measurement, wherein\n in a Raman spectrum measured by resonance Raman scattering at an excitement wavelength of 532 nm, 0.6 \u2264 ( \u2211 k = 1 n \ue89e \ue89e I k \ue89e BFW ) / I G + [ Math \ue89e \ue89e 1 ] where I G+  represents intensity of a G+ band peak appearing near 1590 cm \u22121 , I k BWF  represents intensity of a k th  G\u2212 band peak among n G\u2212 band peaks appearing in a range from 1500 cm \u22121  to 1560 cm \u22121 , and n represents an integer of at least 1.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 93.0
- Lexical Diversity: 1.90741
- Patent Class: 428.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15021743', '12371851', '13224115', '11586310', '15766303']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8936454671255394
- 35 USC 102 Novelty (BERT): 0.5301222663560111
- Combined Prediction Score: 0.8572931470485866
- Mean Citation Score: 230.540952
- Max Citation Score: 343.0030799999999
- Similarity Product: 216.69472666504376

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

Dataset: test