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 17):
The method of  claim 16  wherein said first plurality of structures is fabricated in conformity with design rules of a fabrication process, the method further comprising:\n forming a second plurality of structures in violation of the design rules thereby to induce variability in the second plurality of structures caused by statistical variations inherent in the fabrication process, wherein an acoustic signature of the second plurality of structures represents a second portion of the encoded data.

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): 0.5311450281144856
- 35 USC 102 Novelty (BERT): 0.4661419241775438
- Combined Prediction Score: 0.5246447177207915
- Mean Citation Score: 106.2611268
- Max Citation Score: 111.38665
- Similarity Product: 69.97787312093675

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

Dataset: test