Search Results for author:
Found 2 papers, 0 papers with code
Non-intrusive data-driven model order reduction for circuits based on Hammerstein architectures
We demonstrate that data-driven system identification techniques can provide a basis for effective, non-intrusive model order reduction (MOR) for common circuits that are key building blocks in microelectronics.
Learning Compact Physics-Aware Delayed Photocurrent Models Using Dynamic Mode Decomposition
Our results show that the significantly reduced order delayed photocurrent models obtained via this method accurately approximate the dynamics of the internal excess carrier density -- which can be used to calculate the induced current at the device boundaries -- while remaining compact enough to incorporate into larger circuit simulations.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
