PATENT CLAIM ANALYSIS

Application Number: 16079436
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["365", "158000"]

Abstract:
An exchange bias utilization type magnetization rotational element includes an anti-ferromagnetic driving layer which is made of first region and second region anti-ferromagnetisms, and a third region anti-ferromagnetism positioned between the first and second regions, a magnetic coupling layer anti-ferromagnetism which is magnetically coupled to the anti-ferromagnetic driving layer anti-ferromagnetism in the third region anti-ferromagnetism, a first electrode layer anti-ferromagnetism which is bonded to the first region anti-ferromagnetism; and a second electrode layer anti-ferromagnetism which is bonded to the second region anti-ferromagnetism.

Claim (Index 19):
A magnetic neuron element comprising:\n the exchange bias utilization type magnetoresistance effect element according to  claim 12 , the third region of the anti-ferromagnetic driving layer aligned in a longitudinal direction and made of a first storage portion, and a second storage portion and the third storage portion which are across the first storage portion, and a current source having a control circuit for performing control such that a write current capable of sequentially moving the magnetic domain wall flows to stay at least once in each of the first storage portion, the second storage portion, and the third storage portion.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 96.0
- Lexical Diversity: 2.175
- Patent Class: 365.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16060042', '13701257', '15781836', '10882338', '15810896']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8186896009409332
- 35 USC 102 Novelty (BERT): 0.4987173160617147
- Combined Prediction Score: 0.7866923724530115
- Mean Citation Score: 294.3077600000001
- Max Citation Score: 303.05704
- Similarity Product: 255.7022640579557

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