PATENT CLAIM ANALYSIS

Application Number: 15764826
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["365", "158000"]

Abstract:
Magnetoresistive effect device including magnetoresistive effect element which high-frequency filter can be realized is provided. Magnetoresistive effect device includes: at least one magnetoresistive effect element including magnetization fixed, spacer, and magnetization free layer wherein magnetization direction is changeable; first and second ports; signal line; and direct-current input terminal. First and second ports are connected to each other via signal line. Magnetoresistive effect element is connected to signal line and is to be connected to ground in parallel to second port. Direct-current input terminal is connected to signal line. Closed circuit including magnetoresistive effect element, signal line, ground, and direct-current input terminal is to be formed. Magnetoresistive effect element is arranged wherein direct current input from direct-current input terminal flows through magnetoresistive effect element in direction from magnetization fixed layer to magnetization free layer.

Claim (Index 12):
The magnetoresistive effect device according to  claim 6 , wherein the plurality of magnetoresistive effect elements having different spin torque resonance frequencies have shapes for which aspect ratios differ from each other in plain view.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 90.0
- Lexical Diversity: 2.48333
- Patent Class: 365.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15764848', '15600066', '15066350', '15662697', '15439640']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8677622240383293
- 35 USC 102 Novelty (BERT): 0.5611413791288952
- Combined Prediction Score: 0.8371001395473859
- Mean Citation Score: 417.490612
- Max Citation Score: 456.471
- Similarity Product: 410.6586834050416

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

Dataset: test