PATENT CLAIM ANALYSIS

Application Number: 16284254
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["713", "189000"]

Abstract:
A random value generator is provided that comprises a carbon nanotube structure that generates a random output current in response to a voltage input. The random value generator includes a random value output circuit coupled to the carbon nanotube structure that receives the random output current from the carbon nanotube structure and generates a random output value based on the received random output current from the carbon nanotube structure.

Claim (Index 9):
An apparatus, comprising:\n at least one random value generator, and a logic circuit element coupled to the at least one random value generator, wherein the logic circuit element receives a random value output from the at least one random value generator and performs an operation based on the random value output, and wherein each of the at least one random value generator comprises: a carbon nanotube structure that generates a random output current in response to a voltage input; and a random value output circuit coupled to the carbon nanotube structure that receives the random output current from the carbon nanotube structure and generates a random output value based on the received random output current from the carbon nanotube structure.

Metadata:
- Claim Count in Document: 4.0
- Percentile: 99.0
- Lexical Diversity: 2.21875
- Patent Class: 713.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15219422', '14597146', '13522467', '11696370', '15469323']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3613603980569791
- 35 USC 102 Novelty (BERT): 0.553245058829453
- Combined Prediction Score: 0.3805488641342265
- Mean Citation Score: 208.846866
- Max Citation Score: 412.67587
- Similarity Product: 380.0660655338992

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

Dataset: test