PATENT CLAIM ANALYSIS

Application Number: 15956090
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2018-08
Patent Classification: ["257", "288000"]

Abstract:
Disclosed are a field effect transistor (FET) and a FET formation method. In the FET, an interlayer dielectric (ILD) layer is positioned laterally adjacent to a sidewall spacer of a replacement metal gate and a cap layer covers the ILD layer, the sidewall spacer and the gate. However, during processing after the gate is formed but before the cap layer is formed, the ILD layer is polished and then recessed such that the top surface of the ILD layer is lower than the top surfaces of the sidewall spacer and the gate. The cap layer is then deposited such that the cap layer is, not only above the top surfaces of the ILD layer, sidewall spacer and gate, but also positioned laterally adjacent to a vertical surface of the sidewall spacer. Recessing the ILD layer prevents shorts between the gate and subsequently formed contacts to the FET source/drain regions.

Claim (Index 2):
The field effect transistor of  claim 1 , the gate comprising a replacement metal gate and the field effect transistor further comprising:\n an additional interlayer dielectric layer on the dielectric cap layer; and contacts that extend vertically through the additional interlayer dielectric layer, the dielectric cap layer and the interlayer dielectric layer to source/drain regions.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 91.0
- Lexical Diversity: 2.5
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15878486', '15851774', '15388400', '15354212', '15468170']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9387714298988608
- 35 USC 102 Novelty (BERT): 0.5476515193320083
- Combined Prediction Score: 0.8996594388421757
- Mean Citation Score: 405.260168
- Max Citation Score: 414.2269
- Similarity Product: 356.5493923011184

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