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Screening of metal–organic frameworks for water adsorption heat transformation using structure–property relationships

机译:使用结构性质关系筛选水吸附热变换的金属有机框架

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It is of great importance to correlate the water adsorption performance of MOFs to their physicochemical features in order to design and prepare MOFs for applications in adsorption heat transformation. In this work, both data analysis from existing studies and Grand Canonical Monte Carlo molecular simulation investigations were carried out. The results indicated that the highest water adsorption capacity was determined by the pore volume of MOF adsorbents, while there was a linear correlation interrelationship between isosteric heats of adsorption and the water adsorption performance at a low relative pressure. More detailed analysis showed that the charge distribution framework and pore size of MOFs contributed together to the hydrophilicity. Electrostatic interaction between water molecules and the framework atoms played a key role at low relative water pressure. A quantitative structure–property relationship model that can correlate the hydrophilicity of MOFs to their pore size and atomic partial charge was established. Along with some qualitative considerations, the screening methodology is proposed and is used to screen proper MOFs in the CoRE database. Seven MOFs were detected, and four of them were synthesized to validate the screening principle. The results indicated that these four MOFs possessed outstanding water adsorption performance and could be considered as promising candidates in applications for adsorption heating and cooling.
机译:将MOF的水吸附性能与其物理化学特征相关联一种重视,以设计和制备用于吸附热变换的应用的MOF。在这项工作中,进行了现有研究的数据分析和大规范蒙特卡罗分子模拟调查。结果表明,最高水吸附能力由MOF吸附剂的孔体积确定,而在低相对压力下的吸附剂和水吸附性能之间存在线性相关性相互作用。更详细的分析表明,MOF的电荷分布框架和孔径一起贡献在一起进行亲水性。水分子与框架原子之间的静电相互作用在低相对水压下发挥了关键作用。建立了可以将MOF的亲水性与其孔径和原子分电荷相关的定量结构性质关系模型。随着一些定性考虑,提出了筛选方法,用于筛选核心数据库中的适当的MOF。检测到七种MOF,其中四个是合成的,以验证筛选原理。结果表明,这四款MOF具有出色的水吸附性能,可被认为是吸附加热和冷却应用中的有希望的候选者。

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