Computer simulation of liquids
Computer simulation of liquids
A fast recursive algorithm for molecular dynamics simulation
Journal of Computational Physics
Journal of Computational Chemistry
A Family of Symplectic Integrators: Stability, Accuracy, and Molecular Dynamics Applications
SIAM Journal on Scientific Computing
Scalable atomistic simulation algorithms for materials research
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Scalable Molecular-Dynamics, Visualization, and Data-Management Algorithms for Materials Simulations
Computing in Science and Engineering
Scalable atomistic simulation algorithms for materials research
Scientific Programming - Best papers from SC 2001
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Nanophase technology achieves superior material properties by assembling nanometer-size clusters. Structures on multiple-length scales and a hierarchy of time scales are essential for the design and control of nanophase materials. However, coexistence of a wide range of length and time scales hinders atomistic simulations of these materials. A new algorithm is developed for large-scale, longtime molecular dynamics simulations by combining (1) quaternion-based, rigid-body dynamics for global cluster motions; (2) implicit integration of Newton's equations for the coalescence of clusters; and (3) normal-mode analysis of fast atomic oscillations. The new scheme, using a time step &Dgr;t of 10-12 seconds, speeds up a conventional explicit integration scheme (&Dgr;t=2 × 10-15 seconds) by a factor of 28. A parallel implementation of the scheme achieves an efficiency of 0.94 for a 1.28-million-atom nanocrystalline silicon nitride solid on 64 nodes of an IBM SP computer.