Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Performance of analog circuits is highly sensitive to layout parasitics.  presents an improved algorithm that automatically conducts performance-constrained parasitic-aware retargeting and optimization of analog layouts. In order to meet the desired circuit specification, performance sensitivities with respect to layout parasitics are first determined. Then the algorithm applies sensitivity-based model to control parasitic-related layout geometries by constructing a set of performance constraints subject to maximum performance deviation due to parasitics. The formulated problem is finally solved using graph-based techniques and nonlinear programming. The algorithm has been demonstrated to be effective and efficient by successfully retargeting several operational amplifiers within minutes of CPU time.
['Zheng Liu', 'Lihong Zhang']
I am writing a research paper on a idea Performance-constrained parasitic-aware retargeting and optimization of analog layouts
[{"from": "human", "value": "I am writing a research paper on a idea Performance-constrained parasitic-aware retargeting and optimization of analog layouts"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Performance of analog circuits is highly sensitive to layout parasitics.  presents an improved algorithm that automatically conducts performance-constrained parasitic-aware retargeting and optimization of analog layouts. In order to meet the desired circuit specification, performance sensitivities with respect to layout parasitics are first determined. Then the algorithm applies sensitivity-based model to control parasitic-related layout geometries by constructing a set of performance constraints subject to maximum performance deviation due to parasitics. The formulated problem is finally solved using graph-based techniques and nonlinear programming. The algorithm has been demonstrated to be effective and efficient by successfully retargeting several operational amplifiers within minutes of CPU time."}]