PATENT CLAIM ANALYSIS

Application Number: 16011509
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-06
Patent Classification: ["235", "494000"]

Abstract:
Data is encoded for identification and labeling using a multitude of nano-electro-mechanical structures formed on a substrate. The number of such structures, their shapes, choice of materials, the spacing therebetween and the overall distribution of the structures result in a vibrational pattern or an acoustic signature that uniquely corresponds to the encoded data. A first group of the structures is formed in conformity with the design rules of a fabrication process used to manufacture the device that includes the structures. A second group of the structures is formed so as not to conform to the design rules and thereby to undergo variability as a result of the statistical variations that is inherent in the fabrication process.

Claim (Index 1):
A device comprising:\n a substrate; and a plurality of structures formed on the substrate, wherein a first subset of the plurality of structures is formed in conformity with design rules of a fabrication process used to manufacture the device, and wherein a second subset of the plurality of structures is formed so as not to conform to the design rules thereby to induce variability in the second subset caused by statistical variations inherent in the fabrication process.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.83582
- Patent Class: 235.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['11183240', '14460236', '13708587', '12011450', '12011454']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.533012208969711
- 35 USC 102 Novelty (BERT): 0.4593864963348419
- Combined Prediction Score: 0.5256496377062241
- Mean Citation Score: 106.2611268
- Max Citation Score: 111.38665
- Similarity Product: 73.71632532511353

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