PATENT CLAIM ANALYSIS

Application Number: 15883503
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-08
Patent Classification: ["257", "401000"]

Abstract:
A method of forming gate structures to a nanosheet device that includes forming at least two stacks of nanosheets, wherein each nanosheet includes a channel region portion having a gate dielectric layer present thereon. The method may further include forming a dual metal layer scheme on the gate dielectric layer of each nanosheet. The dual metal layer scheme including an etch stop layer of a first composition and a work function adjusting layer of a second composition, wherein the etch stop layer has a composition that provides that the work function adjusting layer is removable by a wet etch chemistry that is selective to the etch stop layer.

Claim (Index 15):
An electrical device comprising:\n a first stack of suspended nanosheets in a first region of a substrate containing first conductivity type nanosheet devices, and a second stack of suspended nanosheets in a second region of the substrate including second conductivity type nanosheet devices; a gate dielectric around an entirety of each nanosheet in the first and second stack of suspended nanosheets, and having edges that are free of etch damages; an etch stop layer of a first metal nitride is present on the gate dielectric of said first stack of suspended nano sheets; a first work function adjusting metal containing layer is present on the gate dielectric of said second stack of suspended nanosheets; and a second work function adjusting metal containing layer is present on the etch stop layer.

Metadata:
- Claim Count in Document: 6.0
- Percentile: 86.0
- Lexical Diversity: 1.98246
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15819567', '15802067', '15801967', '15802021', '15602225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9311994725902296
- 35 USC 102 Novelty (BERT): 0.5247420211095304
- Combined Prediction Score: 0.8905537274421598
- Mean Citation Score: 331.928208
- Max Citation Score: 344.4151
- Similarity Product: 239.7321586601734

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