PATENT CLAIM ANALYSIS

Application Number: 15874041
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["438", "653000"]

Abstract:
In one implementation, a method of forming a cobalt layer on a substrate is provided. The method comprises forming a barrier and/or liner layer on a substrate having a feature definition formed in a first surface of the substrate, wherein the barrier and/or liner layer is formed on a sidewall and bottom surface of the feature definition. The method further comprises exposing the substrate to a ruthenium precursor to form a ruthenium-containing layer on the barrier and/or liner layer. The method further comprises exposing the substrate to a cobalt precursor to form a cobalt seed layer atop the ruthenium-containing layer. The method further comprises forming a bulk cobalt layer on the cobalt seed layer to fill the feature definition.

Claim (Index 8):
The method of  claim 1 , wherein the cobalt precursor is one or more of cobalt carbonyl complexes, cobalt amidinate compounds, cobaltocene compounds, cobalt dienyl complexes, cobalt nitrosyl complexes, dicobalt hexacarbonyl acetyl compounds, cyclopentadienyl cobalt bis(carbonyl) (CpCo(CO) 2 ), tricarbonyl allyl cobalt ((CO) 3 Co(CH 2 CH\u2550CH 2 )), or derivatives thereof, complexes thereof, or combinations thereof.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 86.0
- Lexical Diversity: 2.93023
- Patent Class: 438.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15364780', '14482601', '11733929', '15823422', '14601685']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9153961607726836
- 35 USC 102 Novelty (BERT): 0.5031547402331102
- Combined Prediction Score: 0.8741720187187262
- Mean Citation Score: 299.21953799999994
- Max Citation Score: 314.6906
- Similarity Product: 313.6593014478923

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