PATENT CLAIM ANALYSIS

Application Number: 15947991
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["257", "329000"]

Abstract:
Methods of forming contacts for vertical-transport field-effect transistors and structures for a vertical-transport field-effect transistor and contact. An interlayer dielectric layer is deposited over a gate stack, and a first opening is formed in the interlayer dielectric layer and penetrates through the gate stack to cut the gate stack into a first section and a second section. A dielectric pillar is formed in the first opening and is arranged between the first section of the gate stack and the second section of the gate stack. Second and third openings are formed in the interlayer dielectric layer that penetrate to the gate stack and that are divided by the dielectric pillar. A first contact in the second opening is coupled with the first section of the gate stack, and a second contact in the third opening is coupled with the second section of the gate stack.

Claim (Index 1):
A structure comprising:\n a gate stack; an interlayer dielectric layer over the gate stack; a first contact extending vertically through the interlayer dielectric layer to a first section of the gate stack; a second contact extending vertically through the interlayer dielectric layer to a second section of the gate stack; and a dielectric pillar laterally arranged in the interlayer dielectric layer between the first contact and the second contact, and the dielectric pillar penetrating vertically through the gate stack and dividing the gate stack into the first section and the second section.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 91.0
- Lexical Diversity: 3.04
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15658835', '15928783', '15800563', '15427594', '15586621']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.918285622276892
- 35 USC 102 Novelty (BERT): 0.4836250142591025
- Combined Prediction Score: 0.8748195614751131
- Mean Citation Score: 227.61442
- Max Citation Score: 235.51648
- Similarity Product: 193.90734480487825

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