PATENT CLAIM ANALYSIS

Application Number: 16051121
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-04
Patent Classification: ["257", "447000"]

Abstract:
The application disclosed a semiconductor image sensor and a preparation method thereof. The semiconductor image sensor includes: a semiconductor substrate, a buffer layer formed on the semiconductor substrate; and a potential regulation laminated structure, formed on the buffer layer, and configured to regulate a surface potential of the semiconductor substrate. The potential regulation laminated structure includes a first potential regulation layer formed on the buffer layer, a second potential regulation layer formed on the first potential regulation layer and a third potential regulation layer formed on the second potential regulation layer, wherein the first potential regulation layer includes a high-k dielectric constant material layer, and the second and third potential regulation layers each include either a conductive material layer or a high-k dielectric constant material layer.

Claim (Index 16):
The preparation method for the semiconductor image sensor according to  claim 15 , wherein after thinning the semiconductor substrate from the back surface, the method further comprises a step of forming trenches in the semiconductor substrate from the back surface of the semiconductor substrate, the trenches separate a plurality of light-sensitive regions in the semiconductor substrate, and the light-sensitive regions and the sensing units are in upper to lower correspondence one by one, wherein the buffer layer formed in step 2) covers the surface of the trench and the surfaces of the light-sensitive regions; and forming a filling layer on the potential regulation laminated structure, filling up the trenches.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 95.0
- Lexical Diversity: 3.04444
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['12045952', '13061620', '14685123', '15927594', '13728176']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9159809983392748
- 35 USC 102 Novelty (BERT): 0.4800392945445106
- Combined Prediction Score: 0.8723868279597985
- Mean Citation Score: 156.15758799999998
- Max Citation Score: 175.73389
- Similarity Product: 127.43128113894284

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