Rational design of all organic polymer dielectrics
Vinit Sharma,
Chenchen Wang,
Robert G. Lorenzini,
Rui Ma,
Qiang Zhu,
Daniel W. Sinkovits,
Ghanshyam Pilania,
Artem R. Oganov,
Sanat Kumar,
Gregory A. Sotzing,
Steven A. Boggs and
Rampi Ramprasad ()
Additional contact information
Vinit Sharma: University of Connecticut
Chenchen Wang: University of Connecticut
Robert G. Lorenzini: Institute of Materials Science, University of Connecticut
Rui Ma: Institute of Materials Science, University of Connecticut
Qiang Zhu: Stony Brook University
Daniel W. Sinkovits: Columbia University
Ghanshyam Pilania: Los Alamos National Laboratory
Artem R. Oganov: Stony Brook University
Sanat Kumar: Columbia University
Gregory A. Sotzing: Institute of Materials Science, University of Connecticut
Steven A. Boggs: Institute of Materials Science, University of Connecticut
Rampi Ramprasad: University of Connecticut
Nature Communications, 2014, vol. 5, issue 1, 1-8
Abstract:
Abstract To date, trial and error strategies guided by intuition have dominated the identification of materials suitable for a specific application. We are entering a data-rich, modelling-driven era where such Edisonian approaches are gradually being replaced by rational strategies, which couple predictions from advanced computational screening with targeted experimental synthesis and validation. Here, consistent with this emerging paradigm, we propose a strategy of hierarchical modelling with successive downselection stages to accelerate the identification of polymer dielectrics that have the potential to surpass ‘standard’ materials for a given application. Successful synthesis and testing of some of the most promising identified polymers and the measured attractive dielectric properties (which are in quantitative agreement with predictions) strongly supports the proposed approach to material selection.
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5845
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DOI: 10.1038/ncomms5845
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