PATENT CLAIM ANALYSIS

Application Number: 16048016
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2018-12
Patent Classification: ["257", "774000"]

Abstract:
Methods are disclosed herein that improve contours of trenches formed when fabricating vias and conductive lines of a multi-layer interconnect (MLI) structure. An exemplary device that can result from such methods includes a via of an MLI structure and a conductive line of the MLI structure disposed over the via. A first dielectric liner layer is disposed along sidewalls of the via and sidewalls of the conductive line. A thickness of the first dielectric liner layer is substantially the same along the sidewalls of the via. A thickness of the first dielectric liner layer increases along the sidewalls of the conductive line, such that the first dielectric liner layer has a tiger-tooth shape at each bottom corner of the conductive line. A second dielectric liner layer is disposed along the first dielectric liner layer that is disposed along the sidewalls of the via.

Claim (Index 18):
The device of  claim 17 , wherein the second portion of the first conductive feature is separated from the dielectric layer by the first dielectric capping layer and the second dielectric capping layer, and the first portion of the first conductive feature is separated from the dielectric layer by the first dielectric capping layer.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 95.0
- Lexical Diversity: 2.53333
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15019779', '14976751', '15670000', '15692212', '15168323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9212936402755024
- 35 USC 102 Novelty (BERT): 0.4815501792621562
- Combined Prediction Score: 0.8773192941741679
- Mean Citation Score: 187.346194
- Max Citation Score: 207.64929
- Similarity Product: 162.3720424092239

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