Search Results - "Kleese van Dam, K"

Integrating computing, data and collaboration grids: the RMCS tool by Walker, A.M, Bruin, R.P, Dove, M.T, White, T.O.H, Kleese van Dam, K, Tyer, R.P

“…We describe RMCS as one of the first tools for grid computing that integrates data and metadata management into a single job submission system. The system is…”
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eScience for molecular-scale simulations and the eMinerals project by Salje, E.K.H, Artacho, E, Austen, K.F, Bruin, R.P, Calleja, M, Chappell, H.F, Chiang, G.-T, Dove, M.T, Frame, I, Goodwin, A.L, Kleese van Dam, K, Marmier, A, Parker, S.C, Pruneda, J.M, Todorov, I.T, Trachenko, K, Tyer, R.P, Walker, A.M, White, T.O.H

“…We review the work carried out within the…”
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Collaborative grid infrastructure for molecular simulations: The eMinerals minigrid as a prototype integrated compute and data grid by Calleja, M., Bruin, R., Tucker, M. G., Dove, M. T., Tyer, R., Blanshard, L., van Dam, K. Kleese, Allan, R. J., Chapman, C., Emmerich, W., Wilson, P., Brodholt, J., Thandavan, A., Alexandrov, V. N.

“…This paper describes a prototype grid infrastructure, called the "eMinerals minigrid", for molecular simulation scientists. which is based on an integration of…”
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Molecular dynamics in a grid computing environment: experiences using DL_POLY_3 within the eMinerals escience project by Dove, M. T., Sullivan, L. A., Walker, A. M., Bruin, R. P., White, T. O. H., Trachenko, K., Murray-Rust, P., Todorov, I. T., Tyer, R. P., Couch, P. A., Kleese van Dam, K., Smith, W.

“…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…”
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Data integration with the Climate Science Modelling Language by Woolf, A., Lawrence, B., Lowry, R., Kleese van Dam, K., Cramer, R., Gutierrez, M., Kondapalli, S., Latham, S., Lowe, D., O'Neill, K., Stephens, A.

“…The Climate Science Modelling Language (CSML) has been developed by the NERC DataGrid (NDG) project as a standards-based data model and XML markup for…”
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eScience for molecular-scale simulations and the e Minerals project by Salje, E.K.H, Artacho, E, Austen, K.F, Bruin, R.P, Calleja, M, Chappell, H.F, Chiang, G.-T, Dove, M.T, Frame, I, Goodwin, A.L, Kleese van Dam, K, Marmier, A, Parker, S.C, Pruneda, J.M, Todorov, I.T, Trachenko, K, Tyer, R.P, Walker, A.M, White, T.O.H

“…We review the work carried out within the e Minerals project to develop eScience solutions that facilitate a new generation of molecular-scale simulation work…”
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Molecular dynamics in a grid computing environment: experiences using DL_POLY_3 within the e Minerals escience project by Dove, M. T., Sullivan, L. A., Walker, A. M., Bruin, R. P., White, T. O. H., Trachenko, K., Murray-Rust, P., Todorov, I. T., Tyer, R. P., Couch, P. A., Kleese van Dam, K., Smith, W.

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Collaborative grid infrastructure for molecular simulations: The e Minerals minigrid as a prototype integrated compute and data grid by Calleja, M., Bruin, R., Tucker, M. G., Dove, M. T., Tyer, R., Blanshard, L., van Dam, K. Kleese, Allan, R. J., Chapman, C., Emmerich, W., Wilson, P., Brodholt, J., Thandavan, A., Alexandrov, V. N.

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Software tools for X-ray photon correlation and X-ray speckle visibility spectroscopy by Abeykoon, Sameera K., Yugang Zhang, Dill, Eric D., Caswell, Thomas A., Allan, Daniel B., Akilic, Arman, Wiegart, Lutz, Wilkins, Stuart, Heroux, Annie, van Dam, Kerstin K., Sutton, Mark, Fluerasu, Andrei

“…A set of new data analysis software tools have been developed for the study of structural dynamics of materials using coherent scattering and photon…”
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Computational Grids for Mid-Sized Collaborative Projects: The eMinerals Experience by Dove, M.T., White, T.O.H., Walker, A.M., Bruin, R.P., Austen, K.F., Artacho, E., Sullivan, L.A., Calleja, M., Tucker, M.G., Tyer, R.P., Couch, P.A., Van Dam, K. Kleese, Allan, R.J., Todorov, I.T., Chapman, C., Emmerich, W., Marmier, A., Parker, S.C., Blanchard, M.O., Catlow, C.R.A., Du, Z., Leeuw, N. De, Lewis, G.J., Alexandrov, V., Alfredsson, M., Brodholt, J.P., Murray-Rust, P.

“…Grid computing has the potential to revolutionise how small groups of simulation scientists work together to tackle new science problems. In this paper we…”
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