PATENT CLAIM ANALYSIS

Application Number: 15744063
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-07
Patent Classification: ["257", "004000"]

Abstract:
The present invention discloses a preparation method of a Cu-based resistive random access memory, and a memory. The preparation method includes: forming a copper wire in a groove through a Damascus copper interconnection process, wherein the copper wire includes a lower copper electrode for growing a storage medium, and the copper wire is arranged above a first capping layer; forming a second capping layer above the copper wire; forming a hole at a position corresponding to the lower copper electrode on the second capping layer, wherein the pore is used for exposing the lower copper electrode; performing composition and a chemical combination treatment on the lower copper electrode to generate a compound barrier layer, wherein the compound barrier layer is a compound formed by the chemical combination of elements Cu, Si and N, or a compound formed by the chemical combination of elements Cu, Ge and N; and depositing a solid electrolyte material and an upper electrode on the compound barrier layer. By means of the above technical solution, the technical problem of higher injection efficiency of Cu ions in the Cu-based resistive random access memory in the prior art is solved, and the fatigue properties of the memory are improved.

Claim (Index 10):
The memory of  claim 9 , wherein the thickness of the compound barrier layer is 1-100 nm.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 86.0
- Lexical Diversity: 2.43333
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15744064', '15833192', '12264095', '10950584', '14400769']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9055203182980512
- 35 USC 102 Novelty (BERT): 0.6105340598255394
- Combined Prediction Score: 0.8760216924508
- Mean Citation Score: 280.29251400000004
- Max Citation Score: 558.1507
- Similarity Product: 462.15886497417694

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