2006
DOI: 10.1080/08927020600883293
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Molecular dynamics in a grid computing environment: experiences using DL_POLY_3 within theeMinerals escience project

Abstract: We use the example of a study of the compressibility anomaly in amorphous silica to illustrate how molecular-scale simulations can be performed using grid computing. The potential for running many simulations within a single study requires the use of new data management methods, which are discussed in this paper. The example of silica highlights the advantages of the use of grid computing for studying subtle effects.

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Cited by 9 publications
(5 citation statements)
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“…This approach minimizes the effects of statistical errors on the individual points, but requires the large number of points shown in the graph. The analysis of the configurations showed clearly that the enhanced compressibility arises from the flexibility of the silica network that is lost under extreme compression or expansion, in line with the original hypothesis (Dove et al 2006;Walker et al 2007).…”
Section: (B ) Simulation Studies Of Radiation Damage and Nuclear Waste Encapsulationsupporting
confidence: 76%
“…This approach minimizes the effects of statistical errors on the individual points, but requires the large number of points shown in the graph. The analysis of the configurations showed clearly that the enhanced compressibility arises from the flexibility of the silica network that is lost under extreme compression or expansion, in line with the original hypothesis (Dove et al 2006;Walker et al 2007).…”
Section: (B ) Simulation Studies Of Radiation Damage and Nuclear Waste Encapsulationsupporting
confidence: 76%
“…This was performed using the microcanonical (NVE) ensemble, and used for analysis of the dynamics of the glass model. By using grid computing [19][20][21][22] and data management methods [21][22][23] we were able to run many more simulations than would be normal for this type of study. Pressures were varied between −5 and +5 GPa.…”
Section: Methodsmentioning
confidence: 99%
“…To monitor the time evolution of the MD simulation and to compute averages we used our dlparse program to general an XML file for each run based on the Chemical Markup Language, 38,39 which was transformed to an XHTML file easy viewing using our ccViz program. 40 To extract and collate averages from the many files generated in a suite of simulations across many temperatures, such as average lattice parameters at each temperature, we created a Fortran program using the FoX XML libraries.…”
Section: Molecular Dynamics Simulationsmentioning
confidence: 99%