PATENT CLAIM ANALYSIS

Application Number: 15957506
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["257", "427000"]

Abstract:
Method of forming embedded MRAM in interconnects using a metal hard mask process and the resulting device are provided. Embodiments include forming a first interlayer dielectric (ILD) layer including a first metal (Mx) level; forming a capping layer over the first ILD layer; forming magnetic tunnel junction (MTJ) structures formed in a second ILD over the first capping layer; forming a second metal (Mx+1) level in the second ILD layer; forming a second capping layer over the second ILD layer; and forming a third metal (Mx+2) level in a third ILD layer over the second capping layer.

Claim (Index 8):
A device comprising:\n a first interlayer dielectric (ILD) layer including a first metal (Mx) level; a capping layer formed over the first ILD layer; magnetic tunnel junction (MTJ) structures formed in a second ILD over the first capping layer; a second metal (Mx+1) level formed in the second ILD layer; a second capping layer formed over the second ILD layer; a third metal (Mx+2) level formed in a third ILD layer over the second capping layer; oxide spacers formed on sides of metal filled vias, the metal filled vias connecting the Mx level to the MTJ; copper (Cu) filled vias (Vx) connecting the Mx level to the Mx+1 level; and Cu filled vias (Vx+1) connecting the Mx+1 level to the Mx+2 level.

Metadata:
- Claim Count in Document: 30.0
- Percentile: 91.0
- Lexical Diversity: 2.53333
- Patent Class: 257.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15247866', '15877044', '15786132', '14611740', '15616624']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9185803442099651
- 35 USC 102 Novelty (BERT): 0.4951342516560408
- Combined Prediction Score: 0.8762357349545727
- Mean Citation Score: 236.160588
- Max Citation Score: 255.92415
- Similarity Product: 199.0851760553688

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

Dataset: test