PATENT CLAIM ANALYSIS

Application Number: 15934130
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["257", "365000"]

Abstract:
A method is presented for fine-tuning a threshold voltage of a nanosheet structure. The method includes forming a nanosheet stack over a substrate including a plurality of sacrificial layers and a plurality of nanowires, forming a sacrificial gate structure over the nanosheet stack, and partially etching one or more sacrificial layers to form cavities, the partial etching resulting in remaining sections of sacrificial layers. The method includes removing the sacrificial gate structure, removing at least one of the remaining sections of sacrificial layers to expose a surface of each of the plurality of nanowires, forming an oxidation channel on the exposed surface on only either a top side or bottom side of each of the plurality of nanowires, removing the oxidation channels to form a recess on each of the plurality of nanowires, and depositing a high-k metal gate extending into the recess of each of the plurality of nanowires.

Claim (Index 17):
A semiconductor structure for fine-tuning a threshold voltage of a nanosheet structure, the semiconductor structure comprising:\n a nanosheet stack including a plurality of nanosheet wires formed over a substrate, each of the plurality of nanosheet wires having at least one recessed surface; and a high-k metal gate (HKMG) formed over the nanosheet stack and between the plurality of nanosheet wires such that the HKMG extends into each of the recessed surfaces of each of the plurality of nanowires.

Metadata:
- Claim Count in Document: 22.0
- Percentile: 90.0
- Lexical Diversity: 2.5
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15815009', '15446636', '15241772', '15332440', '14918954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9249189628016264
- 35 USC 102 Novelty (BERT): 0.5176576378882902
- Combined Prediction Score: 0.8841928303102927
- Mean Citation Score: 288.1325740000001
- Max Citation Score: 318.8623
- Similarity Product: 229.39920888944863

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