PATENT CLAIM ANALYSIS

Application Number: 16020419
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2020-01
Patent Classification: ["257", "427000"]

Abstract:
Magnetic field assisted magnetoresistive random access memory (MRAM) structures, integrated circuits including MRAM structures, and methods for fabricating integrated circuits including MRAM structures are provided. An exemplary integrated circuit includes a magnetoresistive random access memory (MRAM) structure and a magnetic field assist structure to generate a selected net magnetic field on the MRAM structure.

Claim (Index 15):
A magnetic field assisted magnetoresistive random access memory (MRAM) structure comprising:\n a magnetic tunnel junction stack having a first stack sidewall and an opposite second stack sidewall and including a magnetic pinned layer, a magnetic free layer, and a barrier layer disposed between the magnetic pinned layer and the magnetic free layer; and a first passivation layer directly on the first stack sidewall; a second passivation layer directly on the second stack sidewall; a magnetic field assist structure to generate a selected net magnetic field on the magnetic free layer, wherein the magnetic field assist structure includes a first segment directly on the first passivation layer and a second segment directly on the second passivation layer.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 94.0
- Lexical Diversity: 1.72222
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14537966', '14261543', '14749165', '15789158', '14586415']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9209710806468722
- 35 USC 102 Novelty (BERT): 0.5019749851734264
- Combined Prediction Score: 0.8790714710995277
- Mean Citation Score: 255.627486
- Max Citation Score: 270.64334
- Similarity Product: 202.77311683016305

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