PATENT CLAIM ANALYSIS

Application Number: 15949861
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["716", "106000"]

Abstract:
A system and method to perform risk assessment or design rule determination for an integrated circuit involves generating two or more process variation contours based on corresponding two or more combinations of two or more factors that affect manufacturability of the integrated circuit. Each of the two or more process variation contours is associated with a probability. The method also includes generating a random number to select from among the two or more process variation contours based on a cumulative probability value associated with each of the two or more process variation contours. The cumulative probability values are determined from the probabilities. The risk assessment or the design rule determination is performed using selected ones of the two or more process variation contours. Fabrication yield is increased based on finalizing the physical layout using the process variation contours.

Claim (Index 5):
The computer-implemented method according to  claim 4 , wherein the probability associated with each of the two or more process variation contours is a product of the value probabilities corresponding with the one of the two or more values of each of the two or more factors.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 91.0
- Lexical Diversity: 2.21538
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12715351', '15829632', '15357712', '15829668', '15719680']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2949497589303299
- 35 USC 102 Novelty (BERT): 0.4646835935037426
- Combined Prediction Score: 0.3119231423876711
- Mean Citation Score: 126.184776
- Max Citation Score: 129.89163
- Similarity Product: 88.1191450274509

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

Dataset: test