Di Vito A.

Department of Electronics Engineering, University of Rome Tor Vergata, Rome, Italy


MM06–Tight binding parameterization through particle swarm optimization algorithm

Di Vito A., Pecchia A., Auf der Maur M., Di Carlo A.

The tight binding (TB) approach represents a good trade-off between accuracy and computational burden. For this reason, it is widely used for device simulations. However, a proper description of a physical system by means of TB requires an accurate parameterization of the Hamiltonian matrix elements (HME), that is usually done by fitting over suitable properties […]