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离子液体辅助剥离双层石墨烯成单层石墨烯纳米片的计算自由能预测。

In silico free energy predictions for ionic liquid-assisted exfoliation of a graphene bilayer into individual graphene nanosheets.

机构信息

Department of Chemistry, University of Missouri-Columbia, Columbia, MO 65211-7600, USA.

出版信息

Phys Chem Chem Phys. 2012 Jun 14;14(22):7929-33. doi: 10.1039/c2cp40824d. Epub 2012 May 2.

DOI:10.1039/c2cp40824d
PMID:22552225
Abstract

Free energies for graphene exfoliation from bilayer graphene using ionic liquids based on various cations paired with the bis(trifluoromethylsulfonyl)imide anion were determined from adaptive bias force-molecular dynamics (ABF-MD) simulation and fall in excellent qualitative agreement with experiment. This method has notable potential as an a priori screening tool for performance based rank order prediction of novel ionic liquids for the dispersion and exfoliation of various nanocarbons and inorganic graphene analogues.

摘要

使用基于各种阳离子与双(三氟甲烷磺酰基)亚胺阴离子配对的离子液体,从双层石墨烯中剥离石墨烯的自由能通过自适应偏置力分子动力学(ABF-MD)模拟确定,与实验结果非常吻合。该方法具有很大的潜力,可作为一种基于性能的新型离子液体的预先筛选工具,用于预测各种纳米碳和无机石墨烯类似物的分散和剥离性能。

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