The Journal of Chemical Physics · 2007 · 21 citations · 23 references
Natural SciencesChemistryPhysicsComputational ChemistryQuantum ChemistryTheoretical ChemistryAb Initio MethodsBorn-oppenheimer ApproximationDensity Functional TheoryMolecular DynamicsMolecular Orbital TheoryMolecular SimulationBorn-oppenheimer Molecular DynamicsMemory BandwidthParallelizationPeriodic Boundary ConditionsSparse Matrix ComputationTight-binding ApproximationTight-binding ModelsTight-binding Theory
The authors formulate a Car-Parrinello treatment for the density-functional-based tight-binding method with and without self-consistent charge corrections. This method avoids the numerical solution of the secular equations, the principal drawback for large systems if the linear combination of atomic orbital ansatz is used. The formalism is applicable to finite systems and for supercells using periodic boundary conditions within the Gamma-point approximation. They show that the methodology allows the application of modern computational techniques such as sparse matrix storage and massive parallelization in a straightforward way. All present bottlenecks concerning computer time and consumption of memory and memory bandwidth can be removed. They illustrate the performance of the method by direct comparison with Born-Oppenheimer molecular dynamics calculations. Water molecules, benzene, the C(60) fullerene, and liquid water have been selected as benchmark systems.
23
<i>Numerical Recipes, The Art of Scientific Computing</i>
William H. Press, Brian P. Flannery, Saul A. Teukolsky et al. · American Journal of Physics · 1987 · 10.1K citations