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The Collective Experience of Empathic Data Systems (CEEDS) project will develop novel, integrated technologies to support human experience, analysis and understanding of very large datasets.Making use of humans' implicit processing abilitiesCEEDS will develop innovative tools to exploit theories showing that discovery is the identification of patterns in complex data sets by the implicit informati ...

The ultimate goal of this proposal is to develop a multi-scale computational tool for selfconsistent calculations of the electronic structure of nanosized solutes and the density distribution of solvent molecules around them. The aim of the project is to combine the advantages of the reference-interaction-site-model-self-consistent-field (RISM-SCF) methodology with the power of multi-scale algorit ...