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首页> 外文期刊>Physical chemistry chemical physics: PCCP >In silico free energy predictions for ionic liquid-assisted exfoliation of a graphene bilayer into individual graphene nanosheets
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In silico free energy predictions for ionic liquid-assisted exfoliation of a graphene bilayer into individual graphene nanosheets

机译:石墨烯双层的离子液体辅助剥离成单个石墨烯纳米片的计算机自由能预测

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摘要

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.
机译:自适应偏压力-分子动力学(ABF-MD)模拟确定了使用基于各种阳离子的离子液体与双(三氟甲基磺酰基)亚胺阴离子配对从双层石墨烯中剥离石墨烯的自由能,并且与实验具有很好的定性一致性。该方法作为用于对各种纳米碳和无机石墨烯类似物进行分散和剥落的新型离子液体的基于性能的顺序预测的先验筛选工具,具有显着的潜力。

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