PATENT CLAIM ANALYSIS

Application Number: 16152190
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["436", "174000"]

Abstract:
A molecular sensor includes a substrate defining a substrate plane, and a plurality of pairs of electrode sheets above or below the substrate at an angle to the substrate plane. The molecular sensor further includes a plurality of inner dielectric sheets between each electrode sheet in each pair of electrode sheets of the plurality of pairs, and an outer dielectric sheet between each pair of electrode sheets of the plurality of pairs.

Claim (Index 1):
A method of manufacturing a molecular sensor, the method comprising:\n forming a stack by at least:\n providing a first outer dielectric layer; \n depositing a first electrode layer on the first outer dielectric layer; \n depositing an inner dielectric layer on the first electrode layer; \n depositing a second electrode layer on the inner dielectric layer; and \n depositing a second outer dielectric layer on the second electrode layer; \n slicing through the stack at least once at an angle to the layers in the stack to form a plurality of chips from the sliced portions of the stack; and attaching the plurality of chips to a substrate so that the sliced portions of the first electrode layer and the second electrode layer form a plurality of pairs of electrode sheets at an angle to a substrate plane defined by the substrate, and so that the sliced portions of the inner dielectric layer forms a plurality of inner dielectric sheets with each inner dielectric sheet between each electrode sheet in each pair of electrode sheets.

Metadata:
- Claim Count in Document: 13.0
- Percentile: 97.0
- Lexical Diversity: 2.23529
- Patent Class: 436.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15728412', '15220307', '15796080', '15728400', '15979135']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6515738434422221
- 35 USC 102 Novelty (BERT): 0.4988529141785925
- Combined Prediction Score: 0.6363017505158591
- Mean Citation Score: 296.057732
- Max Citation Score: 303.17123
- Similarity Product: 271.4813988829792

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

Dataset: test