PATENT CLAIM ANALYSIS

Application Number: 15997904
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-10
Patent Classification: ["257", "421000"]

Abstract:
A substantially flat bottom electrode for magnetoresistive random access memory (MRAM) devices includes three components: a recessed bulk conductive material such as copper, a conductive liner lining the recess, and a cap layer, wherein the conductive liner is a harder material than the cap layer. The cap layer and the dielectric layer are coplanar having a height differential of less than 3 nanometers. The conductive liner has a lower chemical mechanical planarization removal rate. Also provided are processes for forming the bottom electrode.

Claim (Index 1):
A process of forming a bottom electrode in a magnetoresistive random access memory (MRAM) device, the process comprising:\n forming a recessed metal conductor in a dielectric layer; depositing a conductive liner material in a recess of the recessed metal conductor and the dielectric layer; depositing tantalum nitride cap layer in the recess on the conductive liner material and the dielectric layer; and polishing the tantalum nitride cap layer to the dielectric layer with a chemical mechanical planarization process, wherein a height differential between upper surfaces of the tantalum nitride cap layer and the dielectric layer is less than 3 nanometers, wherein the conductive liner material is harder than the tantalum nitride.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 94.0
- Lexical Diversity: 1.52459
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15455754', '15403452', '14749165', '15824448', '12660424']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9150606463566128
- 35 USC 102 Novelty (BERT): 0.5402403887732212
- Combined Prediction Score: 0.8775786205982735
- Mean Citation Score: 252.306886
- Max Citation Score: 386.18427
- Similarity Product: 364.1269800315876

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