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 15):
A computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to perform a method comprising:\n applying a first best fit data analytics model and a second best fit data analytics model in a noise analysis simulation to reduce a number simulations performed by the processor to identify and simulate an optimal circuit, wherein the applying the first best fit data analytics model and the second best fit data analytics model in a noise analysis simulation to identify and simulate the optimal circuit includes: identifying with the processor a driving cell in the circuit and a load on the driving cell undergoing the noise analysis; identifying all upstream noise for all inputs to the driving cell; with input noise characteristics and instance specific output load, calculating an optimal cell intrinsic output capacitance for each driver cell input/output arc; with the input noise characteristics and the instance specific output load, estimating a propagated noise peak for each arc and each when condition; identifying a worst case when condition for each arc and identifying a worst case arc among each arc.

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): 0.1860778397616735
- 35 USC 102 Novelty (BERT): 0.5649350194645247
- Combined Prediction Score: 0.2239635577319587
- Mean Citation Score: 226.280058
- Max Citation Score: 454.16086
- Similarity Product: 362.8972772824145

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