An Evolutionary Algorithm (EA) is used to search for electron distributions which fit a given goal, for example a measured substrate current. The search of the EA is directed toward physically correct distributions by help of a Monte Carlo like physical mutation operator. In this way the EA can calculate backwards electron distributions from measurement results. Results for an 800 nm and a 75 nm MOSFET demonstrate that the backward calculation ability of the EA allows the use of less complex and less computationally expensive models in the Monte Carlo like physical mutation and still gives electron distributions which are comparable to full-band Monte Carlo results.
|Original language||English (US)|
|Number of pages||4|
|Journal||Physica Status Solidi (B) Basic Research|
|State||Published - Nov 1997|
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics