Alessia Di Vito

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 […]