PATENT CLAIM ANALYSIS

Application Number: 16427515
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["702", "065000"]

Abstract:
An approach for determining leakage current and threshold voltage for ensemble semiconductor devices, implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having program instructions, are operable to: receive a number m of individual devices within an ensemble device; identify a sub-threshold slope; determine an uplift factor; separate random variation in logarithm of a leakage current into a correlated random component and an uncorrelated random component; determine a first standard deviation of correlated random component for the ensemble device; determine a second standard deviation of the uncorrelated random component for the ensemble device; generate a statistical model for electrical features of the ensemble device, based on the number m of individual devices, the sub-threshold slope, the uplift factor, the first and second standard deviation, and statistical random variables; and determine the electrical features of the ensemble device based on the statistical model.

Claim (Index 17):
The method of  claim 1 , wherein the ensemble device is a multi-fin field effect transistor (FET) which includes fin structures that are connected to drain or source structures within the multi-fin FET.

Metadata:
- Claim Count in Document: 44.0
- Percentile: 100.0
- Lexical Diversity: 2.4058
- Patent Class: 702.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14226865', '15976349', '14553228', '14224172', '14148234']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.252303116482817
- 35 USC 102 Novelty (BERT): 0.5755160581748012
- Combined Prediction Score: 0.2846244106520154
- Mean Citation Score: 352.033404
- Max Citation Score: 500.2126
- Similarity Product: 389.0630464933277

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