PATENT CLAIM ANALYSIS

Application Number: 16428026
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-12
Patent Classification: ["257", "369000"]

Abstract:
A method of fabricating a stacked semiconductor device includes forming nanosheet stacks including silicon layers and silicon germanium layers on a substrate. The method includes growing a first epitaxial layer on a source and drain and depositing an interlayer dielectric on the first epitaxial layer. The method includes etching the interlayer dielectric to expose the first epitaxial layer. The method includes etching a portion of the first epitaxial layer and growing a second epitaxial layer on the first epitaxial layer and etching the interlayer dielectric and depositing a first liner in a recess left by the etching, forming a pFET. The method includes etching a portion of the first liner and removing the second epitaxial layer leaving a portion of the first epitaxial layer exposed and depositing a second insulator layer on the first epitaxial layer, forming an nFET. The pFET and nFET are disposed adjacent to one another vertically.

Claim (Index 15):
A nanosheet semiconductor device, comprising:\n a pFET comprising a first nanowire, a first source, and a first drain; an nFET comprising a second nanowire, a second source, and a second drain, the second nanowire vertically stacked over the first nanowire; and a shared gate formed over a channel region of the first nanowire and the second nanowire; wherein the second drain is formed directly on a surface of the first drain; and wherein the second source is electrically isolated from the first source.

Metadata:
- Claim Count in Document: 3.0
- Percentile: 100.0
- Lexical Diversity: 2.87273
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16018696', '16018710', '15868683', '15980250', '15267646']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9193490777998832
- 35 USC 102 Novelty (BERT): 0.5493966566389266
- Combined Prediction Score: 0.8823538356837876
- Mean Citation Score: 328.576052
- Max Citation Score: 414.3925
- Similarity Product: 330.58942040503024

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