PATENT CLAIM ANALYSIS

Application Number: 16106120
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["428", "323000"]

Abstract:
The present invention addresses the problem of providing agglomeraterd boron nitride particles which are suitable to be used as a thermally conductive filler for a heat dissipation sheet of a power semiconductor device, and which exhibit excellent isotropy of thermal conductivity, excellent degradation resistance, and excellent kneadability with respect to resin. The agglomerated boron nitride particles are obtained by agglomerating boron nitride primary particles. The agglomerated BN articles are characterized in that: a peak area intensity ratio ((100)/(004)) of a (100) plane to a (004) plane of the BN primary particles is 0.25 or more, and the average crystallite size of the BN primary particles obtained from a (002) plane peak of the BN primary particles is 375 Å or more.

Claim (Index 12):
A sheet comprising agglomerated boron nitride particles (\u201cagglomerated BN particles\u201d),\n wherein a peak intensity ratio ((100)/(004)) of a (100) plane to a (004) plane of boron nitride primary particles (hereinafter referred to as \u201cBN primary particles\u201d) in the sheet obtained by subjecting the sheet to an X-ray diffraction measurement is 1.0 or more, an average crystallite size of the BN primary particles obtained from a (002) plane peak of the BN primary particles in the sheet obtained by subjecting the sheet to an X-ray diffraction measurement is 375 \u212b or more, and an average particle diameter D 50  of the agglomerated BN particles is 26 \u03bcm or more.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 96.0
- Lexical Diversity: 1.88158
- Patent Class: 428.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15229619', '14290219', '15667246', '13440859', '14773264']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8800130258290423
- 35 USC 102 Novelty (BERT): 0.5859864704547084
- Combined Prediction Score: 0.8506103702916089
- Mean Citation Score: 302.577704
- Max Citation Score: 472.33084
- Similarity Product: 460.06289624957566

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