PATENT CLAIM ANALYSIS

Application Number: 15906775
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-02
Patent Classification: ["257", "427000"]

Abstract:
A magnetic tunnel junction device includes a first ferromagnetic layer, a tunnel barrier that is in contact with the first ferromagnetic layer, and a synthetic ferrimagnetic reference layer that is in contact with the tunnel barrier while being in the other side of the first ferromagnetic layer, in which the synthetic ferrimagnetic reference layer includes a second ferromagnetic layer that has a first magnetization direction while being in contact with the tunnel barrier, a magnetic layer that has a second magnetization direction which is anti-parallel to the first magnetization direction, and a first nonmagnetic layer that is interposed between the second ferromagnetic layer and the magnetic layer, and lateral dimensions of the magnetic layer of the synthetic ferrimagnetic reference layer are made larger than lateral dimensions of the first ferromagnetic layer and the second ferromagnetic layer.

Claim (Index 2):
The magnetic tunnel junction device according to  claim 1 ,\n wherein the magnetic layer is a third ferromagnetic layer, and the first nonmagnetic layer of the synthetic ferrimagnetic reference layer is disposed in contact with the second ferromagnetic layer and the third ferromagnetic layer.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 88.0
- Lexical Diversity: 3.25
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13762799', '15445362', '14710616', '14551095', '12510063']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9350144111806096
- 35 USC 102 Novelty (BERT): 0.507198095386185
- Combined Prediction Score: 0.8922327796011672
- Mean Citation Score: 292.008984
- Max Citation Score: 301.37277
- Similarity Product: 255.0037433909584

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test