Simulations of Metal Cu in Heating Process

Introduction In order to study the short-range order as well as thermodynamic properties, two distinct techniques of computer simulation, namely, the molecular dynamics and Monte Carlo methods, are most frequently em-ployed. In both techniques, the interaction potential is the primary input for computation. Mitra and co-workers1 have used a two-body model with Coulombic interac-tions and a power-law repulsion, fitted to the short- range structure and melting temperature of cristobalite. Thre…

Simulations of Metal Cu in Heating Process

Based on the Finnis‐Sinsclair (FS) many‐body potential model, the melting process of a system, which consists of 500 Cu atoms, controlled by period boundary condition has been simulated. The means of pair correlation function, mean square displacement and Honeycutt‐Anderson bonded pair have been used to characterize the melting behavior of Cu at different heating rates. The simulation indicates that melting point of metal Cu is 1444 K during a continuous heating process, and the calculated diffusion constant at the melting point is 4.31×10^?‐⁹/s. These results are better than those from the EAM method, showing that the FS potential model works well in some disordered systems.