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 4):
The circuit protected against timing errors and parasitic disturbances of  claim 3 , wherein: the minimum propagation delay of said combinatory logic circuit plus the minimum propagation delay of a said first sampling element is larger than the period of said clock signal, minus the said predetermined delay, plus the hold time+t FFh  of the sampling element, plus the setup time of the fifth sampling element, plus the maximum delay of the comparator for the transitions from the non error to the error state.

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): 0.6923878770385423
- 35 USC 102 Novelty (BERT): 0.4866016314298693
- Combined Prediction Score: 0.6718092524776751
- Mean Citation Score: 212.43157
- Max Citation Score: 238.28308
- Similarity Product: 183.50344683945184

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