PATENT CLAIM ANALYSIS

Application Number: 16113773
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-01
Patent Classification: ["326", "016000"]

Abstract:
Aggressive technology scaling impacts parametric yield, life span, and reliability of circuits fabricated in advanced nanometric nodes. These issues may become showstoppers when scaling deeper to the sub-10nm domain. To mitigate them various approaches have been proposed including increasing guard-bands, fault-tolerant design, and canary circuits. Each of them is subject to several of the following drawbacks; large area, power, or performance penalty; false positives; false negatives; and in sufficient coverage of the failures encountered in the deep nanometric domain. The invention presents a highly efficient double-sampling architecture, which allow mitigating all these failures at low area and performance penalties, and also enable significant power reduction.

Claim (Index 2):
The circuit protected against timing errors and parasitic disturbances of  claim 1 , wherein: said fourth sampling element is driven by the opposite edge of the same clock signal as said first and second sampling elements delayed by a second predetermined delay, say second predetermined delay is equal to said first predetermined delay minus the duration of the high level of said clock signal.

Metadata:
- Claim Count in Document: 11.0
- Percentile: 96.0
- Lexical Diversity: 1.43529
- Patent Class: 326.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12932201', '12456477', '12101716', '12379019', '11206142']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6944850007770261
- 35 USC 102 Novelty (BERT): 0.4758899108114077
- Combined Prediction Score: 0.6726254917804643
- Mean Citation Score: 212.43157
- Max Citation Score: 238.28308
- Similarity Product: 208.1250140963745

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