AMOLED Display Design
We want to improve the reaction time (delay) to the on/off command of AMOLED displays.
A number of design variables (PMOS and NMOS transistor characteristics) can be acted upon to minimize the reaction time. Circuit performance, however, also depends on temperature, operating voltage, and process variables subject to uncertainty and statistical fluctuations related to the electronic component manufacturing process.
Using machine learning techniques, a "yield simulator" has been defined, that is a software tool that allows to accurately predict the percentage of integrated circuits "in full working order". The simulator is then used to calculate the objective function to be minimized and, in order to take into account the variability of the parameters, the algorithm uses robust optimization techniques, which can take into account the variance of the process and manage the "worst case scenario".
Results and Benefits
Leveraging robust optimization techniques we identify the optimal configuration without the need to produce prototypes on which to perform tests. This significantly reduces design time and costs.