Molecular dynamics in LAMMPS using a machine-learning Gaussian approximation potential for carbon; periodic boundary conditions; conjugate-gradient energy minimization; displacement-based dynamical-matrix calculations; amorphous graphene annealed at 300 K for 50 ps before relaxation.LAMMPS
Settings
potentialGaussian approximation potential
anneal time ps50
boundary conditionsperiodic
anneal temperature K300
displacement for dm angstrom0.05
energy convergence threshold eV0
Molecular dynamics in LAMMPS using a machine-learning Gaussian approximation potential for silicon; periodic boundary conditions; conjugate-gradient energy minimization; displacement-based dynamical-matrix calculations.LAMMPS
Settings
potentialGaussian approximation potential
boundary conditionsperiodic
displacement for dm angstrom0.05
energy convergence threshold eV
Molecular dynamics in LAMMPS using the Tersoff potential for silicon–germanium; periodic boundary conditions; conjugate-gradient energy minimization; displacement-based dynamical-matrix calculations.LAMMPS
Settings
potentialTersoff
boundary conditionsperiodic
displacement for dm angstrom0.05
energy convergence threshold eV0