PATENT CLAIM ANALYSIS

Application Number: 16118883
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["438", "627000"]

Abstract:
A method of forming a titanium nitride (TiN) diffusion barrier includes exposing a deposition surface to a first pulse of a titanium-containing precursor and to a first pulse of a nitrogen-rich plasma to form a first TiN layer with a first nitrogen concentration making a lower portion of the TiN diffusion barrier, the first nitrogen concentration of the first TiN layer is increased by the first pulse of the nitrogen-rich plasma reducing a reactivity of the lower portion of the TiN diffusion barrier to prevent fluorine diffusion. The first TiN layer is exposed to second pulses of the titanium-containing precursor and the nitrogen-rich plasma to form a second TiN layer with a second nitrogen concentration above the first TiN layer making an upper portion of the TiN diffusion barrier, the first pulse of the nitrogen-rich plasma has a substantially longer duration than the second pulse of the nitrogen-rich plasma.

Claim (Index 6):
The method of  claim 5 , wherein causing the nucleation and densification of the titanium nitride diffusion barrier to increase reduces the amount of deposition cycles required to form the titanium nitride diffusion barrier, and causes oxidation of the titanium nitride diffusion barrier to decrease.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 96.0
- Lexical Diversity: 2.87037
- Patent Class: 438.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15797791', '14501137', '15164071', '15164063', '12002780']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9032763265117376
- 35 USC 102 Novelty (BERT): 0.5716237998054985
- Combined Prediction Score: 0.8701110738411139
- Mean Citation Score: 408.087712
- Max Citation Score: 448.53458
- Similarity Product: 447.1018115829181

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