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      USPEX—Evolutionary crystal structure prediction

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      Computer Physics Communications
      Elsevier BV

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          Efficient iterative schemes forab initiototal-energy calculations using a plane-wave basis set

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            Crystal structure prediction using ab initio evolutionary techniques: principles and applications.

            We have developed an efficient and reliable methodology for crystal structure prediction, merging ab initio total-energy calculations and a specifically devised evolutionary algorithm. This method allows one to predict the most stable crystal structure and a number of low-energy metastable structures for a given compound at any P-T conditions without requiring any experimental input. Extremely high (nearly 100%) success rate has been observed in a few tens of tests done so far, including ionic, covalent, metallic, and molecular structures with up to 40 atoms in the unit cell. We have been able to resolve some important problems in high-pressure crystallography and report a number of new high-pressure crystal structures (stable phases: epsilon-oxygen, new phase of sulphur, new metastable phases of carbon, sulphur and nitrogen, stable and metastable phases of CaCO3). Physical reasons for the success of this methodology are discussed.
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              Is Open Access

              Efficient index handling of multidimensional periodic boundary conditions

              An efficient method is described to handle mesh indexes in multidimensional problems like numerical integration of partial differential equations, lattice model simulations, and determination of atomic neighbor lists. By creating an extended mesh, beyond the periodic unit cell, the stride in memory between equivalent pairs of mesh points is independent of their position within the cell. This allows to contract the mesh indexes of all dimensions into a single index, avoiding modulo and other implicit index operations.
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                Author and article information

                Journal
                Computer Physics Communications
                Computer Physics Communications
                Elsevier BV
                00104655
                December 2006
                December 2006
                : 175
                : 11-12
                : 713-720
                Article
                10.1016/j.cpc.2006.07.020
                f2b719dd-448c-4705-a54e-9e632aefb808
                © 2006

                http://www.elsevier.com/tdm/userlicense/1.0/

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