Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

Positron annihilation experiments have been applied to verify the formation mechanism of electrically inactive vacancy-impurity clusters in highly n-type Si. We show that the migration of V-As pairs at 450 K leads to the formation of V-As2 complexes, which in turn convert to stable V-As3 defects at 700 K. These processes manifest the formation of V-As3 as the dominant vacancy-impurity cluster i...

Quantum-chemical density-functional theory (DFT) calculations, using the local-density approximation (LDA), have been performed for hydrogen-bounded silicon clusters to determine the electron density distribution of the Si-Si bond. The density distribution in the bonding region is compared with calculated and X-ray values of the bond in the crystal and found to be in good agreement. Using Hirsh...

Silicene, the all-Si analogue of graphene, is symmetrically buckled in each of the six-membered units and this buckling is periodically translated across the surface. Raman spectra of silicene clusters were calculated using first principles DFT methods to explore the intrinsic buckling in silicene. The presence of metal clusters as a tip over the silicene units affects the intensity of the buck...

In order to scale to large multiprocessors or clusters, transactional memories must reduce reliance on synchronisation. Therefore, we consider two favorable formal properties, namely Snapshot Isolation (SI, by which read-only transactions commit without synchronisation), and Genuine Partial Replication (GPR, by which a processor synchronises for a transaction only if it maintains a copy of some...

Third-order bound-charge electronic nonlinearities of Si nanocrystals (NCs) embedded in a wide band-gap matrix representing silica are theoretically studied using an atomistic pseudopotential approach. Nonlinear refractive index, two-photon absorption and optical switching parameter are examined from small clusters to NCs up to a size of 3 nm. Compared to bulk values, Si NCs show higher third-o...

Swarm Intelligence (SI) is an innovative artificial intelligence technique for solving complex optimization problems. Data clustering is the process of grouping data into a number of clusters. The goal of data clustering is to make the data in the same cluster share a high degree of similarity while being very dissimilar to data from other clusters. Clustering algorithms have been applied to a ...

Ab initio calculations have been carried out to investigate the H-atom migration and H2 desorption on the mixed SiGe(100)-2×1 surface using the Si9-xGexH13, Si14GeH19 and Si13Ge2H19 cluster models. The H2 recombinative desorption is the rate-determining step in hydrogen migration and desorption on SiGe(100) surface since the energy barrier of H-atom migration is generally lower than that of H2 ...