PATENT CLAIM ANALYSIS

Application Number: 15865249
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2019-07
Patent Classification: ["257", "421000"]

Abstract:
A Magnetic Tunnel Junction (MTJ) device can include an array of cells. The array of cells can include a plurality of source lines disposed in columns, set of selectors coupled to respective source lines, MTJ structures coupled to respective selectors and a plurality of bit lines disposed in rows and coupled to respective sets of MTJ structures. The array of cells can also include buffers coupled between respective selectors and respective MTJ structures. In addition, multiple arrays can be stacked on top of each other to implement vertical three-dimensional (3D) MTJ devices.

Claim (Index 1):
A Magnetic Tunnel Junction (MTJ) device comprising:\n a plurality of source lines disposed in columns in corresponding trenches in a dielectric layer; an array of selectors, wherein sets of selectors are coupled to respective source lines and wherein the array of selectors are disposed on respective source lines in the corresponding trenches in the dielectric layer; an array of MTJ structures, wherein the MTJ structures are coupled to respective selectors; and a plurality of hit lines disposed in rows, wherein the bit lines are coupled to respective sets of MTJ structures.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 86.0
- Lexical Diversity: 1.98077
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15865247', '15859230', '10685824', '11959797', '14735006']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.931728719975013
- 35 USC 102 Novelty (BERT): 0.5498723102018742
- Combined Prediction Score: 0.8935430789976992
- Mean Citation Score: 294.164888
- Max Citation Score: 430.42084000000006
- Similarity Product: 335.472179519384

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