PATENT CLAIM ANALYSIS

Application Number: 15966391
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["257", "324000"]

Abstract:
A NOR-type three-dimensional memory device includes a vertically alternating stack of insulating layers and electrically conductive layers located over a substrate, and laterally alternating sequences of respective active region pillars and respective memory stack structures. Each laterally alternating sequence is electrically isolated from the electrically conductive layers by a respective blocking dielectric layer at each level of the electrically conductive layers. Each memory stack structures include a memory film and a semiconductor channel material portion that vertically extend through the vertically alternating stack. The active region pillars include an alternating sequence of source pillar and drain pillars.

Claim (Index 7):
The three-dimensional memory device of  claim 6 , wherein:\n the active region pillars and memory stack structures alternate along a first horizontal direction; each of the first electrically conductive layers and the blocking dielectric layers laterally extend along the first horizontal direction; and each of the blocking dielectric layers contacts outer sidewalls of each of the memory films within the laterally alternating sequence.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 91.0
- Lexical Diversity: 1.85455
- Patent Class: 257.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15943859', '14739284', '14739354', '15956139', '15695225']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.9433209571963406
- 35 USC 102 Novelty (BERT): 0.5394085737850417
- Combined Prediction Score: 0.9029297188552108
- Mean Citation Score: 375.991692
- Max Citation Score: 391.69577
- Similarity Product: 286.89757002374176

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