PATENT CLAIM ANALYSIS

Application Number: 15901358
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-02
Patent Classification: ["716", "107000"]

Abstract:
A yield prediction apparatus is provided. The yield prediction apparatus may include at least one processor coupled to at least one non-transitory computer-readable medium. The at least one processor may be configured to receive a first variable associated with operating characteristics of a semiconductor device, perform a simulation for the operating characteristics of the semiconductor device, perform a neural network regression analysis using a result of the simulation to determine a first function for the first variable, and predict a yield of the semiconductor integrated circuit based on an advanced Monte Carlo simulation. An input of the advanced Monte Carlo simulation may include the determined first function.

Claim (Index 11):
The yield prediction apparatus of  claim 1 , wherein\n the at least one processor is configured to receive a second variable associated with layout characteristics of the semiconductor integrated circuit and perform an emulation for the layout characteristics of the semiconductor integrated circuit, the at least one processor is configured to perform the neural network regression analysis using a result of the emulation to determine a determined second function for the second variable, and the at least one processor being configured to perform the advanced Monte Carlo simulation to predict the yield of the semiconductor integrated circuit, the input of the advanced Monte Carlo simulation including the determined second function.

Metadata:
- Claim Count in Document: 8.0
- Percentile: 88.0
- Lexical Diversity: 1.96552
- Patent Class: 716.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14967184', '13535709', '15638947', '11780744', '14683021']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3685507219945574
- 35 USC 102 Novelty (BERT): 0.4689534639238028
- Combined Prediction Score: 0.378590996187482
- Mean Citation Score: 207.136854
- Max Citation Score: 231.38399
- Similarity Product: 185.3661313072753

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