PATENT CLAIM ANALYSIS

Application Number: 16109045
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["257", "622000"]

Abstract:
A multiple silicon trenches forming method and an etching mask structure, the method comprises: step S 11 , providing a MEMS sealing cap silicon substrate ( 100 ); step S 12 , forming n stacked mask layers ( 101, 102, 103 ) on the MEMS sealing cap silicon substrate ( 100 ), after forming each mask layer, photolithographing and etching the mask layer and all other mask layers beneath the same to form a plurality of etching windows (D 1 , D 2 , D 3 ); step S 13 , etching the MEMS sealing cap silicon substrate by using the current uppermost mask layer and a layer of mask material beneath the same as a mask; step S 14 , removing the current uppermost mask layer; step S 15 , repeating the step S 13  and the step S 14  until all the n mask layers are removed. The present invention can form a plurality of deep trenches with high aspect ratio on the MEMS sealing cap silicon substrate using conventional semiconductor processes, avoiding the problem that the conventional spin coating cannot be conducted on a sealing cap wafer with deep trenches using photoresist.

Claim (Index 7):
The multiple silicon trenches forming method for MEMS sealing cap wafer of  claim 4 , wherein the first mask layer is a silicon oxide layer, the second mask layer is an aluminum layer or a silicon nitride layer, and the third layer is a photoresist mask layer.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 96.0
- Lexical Diversity: 2.33333
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14389565', '14712987', '14706095', '13904194', '11808876']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9273734006974432
- 35 USC 102 Novelty (BERT): 0.5478232461912038
- Combined Prediction Score: 0.8894183852468193
- Mean Citation Score: 270.646716
- Max Citation Score: 403.29025
- Similarity Product: 320.42753815914693

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