PATENT CLAIM ANALYSIS

Application Number: 15910766
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-07
Patent Classification: ["702", "058000"]

Abstract:
A method for predicting remaining life of electromigration failure is disclosed. The methods includes: establishing an electromigration life model of a MOS device; acquiring a normal electromigration failure lifetime τ 1 , based on a current density and a first environment temperature under a preset normal operating condition and the electromigration life model; acquiring a current density stress, based on a target prognostic point τ 2 , a second environment temperature and the electromigration life model; inputting the current density stress into a MOS device electromigration failure warning circuit based on a prognostic cell; and if the prognostic circuit of EM failure for a MOS device outputs a high level after a time τ 3 , acquiring a remaining life of electromigration failure corresponding to τ 2 ′ based on τ 1 , τ 2  and τ 3 . A device for remaining life prediction for electromigration failure is also disclosed.

Claim (Index 3):
The device for remaining life prediction for EM failure of  claim 2 , wherein the second acquisition unit is configured to acquire a current density stress based on a target prognostic point \u03c4 2 , a second environment temperature and the second updated EM life model of the MOS device with determined parameters.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 90.0
- Lexical Diversity: 2.40909
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14348844', '10716686', '13336594', '14348849', '10325194']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1794388103471982
- 35 USC 102 Novelty (BERT): 0.5494954619923587
- Combined Prediction Score: 0.2164444755117142
- Mean Citation Score: 218.161648
- Max Citation Score: 390.68512
- Similarity Product: 373.1192563942719

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

Dataset: test