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首页> 外文期刊>Dalton transactions: An international journal of inorganic chemistry >Coarse graining of force fields for metal-organic frameworks
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Coarse graining of force fields for metal-organic frameworks

机译:金属有机框架的力场粗粒化

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We have adapted our genetic algorithm based optimization approach, originally developed to generate force field parameters from quantum mechanic reference data, to derive a first coarse grained force field for a MOF, taking the atomistic MOF-FF as a reference. On the example of the copper paddle-wheel based HKUST-1, a maximally coarse grained model, using a single bead for each three and four coordinated vertex, was developed as a proof of concept. By adding non-bonded interactions with a modified Buckingham potential, the resulting MOF-FF-CGNB is able to predict local deformation energies of the building blocks as well as bulk properties like the tbo vs. pto energy difference or elastic constants in a semi-quantitative way. As expected, the negative thermal expansion of HKUST-1 is not reproduced by the maximally coarse grained model. At the expense of atomic resolution, substantially larger systems (up to tens of nanometers in size) can be simulated with respect to structural and mechanical properties, bridging the gap to the mesoscale. As an example the deformation of the [111] surface of HKUST-1 by a "tip" could be computed without artifacts from periodic images.
机译:我们采用了基于遗传算法的优化方法,该方法最初是根据量子力学参考数据生成力场参数的,并以原子MOF-FF为参考来导出MOF的第一个粗粒度力场。在基于铜桨轮的HKUST-1的示例上,开发了一个最大粗粒度模型,该模型对每个三个和四个协调顶点使用单个焊珠,以此作为概念证明。通过添加具有改进的白金汉势能的非键相互作用,所得的MOF-FF-CGNB能够预测构件的局部变形能以及诸如tbo与pto的能量差或半弹性中的弹性常数之类的整体性质定量方式。不出所料,最大粗粒度模型没有再现HKUST-1的负热膨胀。以原子分辨率为代价,就结构和机械性能而言,可以模拟更大的系统(尺寸高达数十纳米),将间隙缩小到中尺度。作为示例,可以计算HKUST-1的[111]表面通过“尖端”的变形,而没有来自周期性图像的伪影。

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