PATENT CLAIM ANALYSIS

Application Number: 16358797
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-07
Patent Classification: ["702", "069000"]

Abstract:
A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.

Claim (Index 6):
The method of  claim 1 , further comprising:\n correlating, using a processor, noise results predicted by a circuit model to a transistor level model with a processor; generating, using the processor, the first best fit data analytics model for identifying an optimal output pin capacitance as a function of circuit conditions and storing the first best fit data analytics model in a noise rule file in a memory; and generating, using the processor, the second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and storing the second best fit data analytics model in the noise rule file in the memory.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 2.5
- Patent Class: 702.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14967442', '13632885', '11927840', '12907814', '14067720']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1827022885733727
- 35 USC 102 Novelty (BERT): 0.5764315551361773
- Combined Prediction Score: 0.2220752152296532
- Mean Citation Score: 226.280058
- Max Citation Score: 454.16086
- Similarity Product: 446.2789952852643

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

Dataset: test