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Molecular simulations of physical and chemical adsorption under gas and liquid environments using force field- and quantum mechanics-based methods

机译:使用基于力场和量子力学的方法在气体和液体环境下进行物理和化学吸附的分子模拟

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摘要

Here we review our simulations of adsorption on metal-organic frameworks (MOFs) and platinum (Pt) catalysts, focusing on the modelling methods required to understand these two very different systems. MOFs are porous, crystalline materials with large surface areas, which are promising for a variety of adsorption applications. We review our simulations of gas uptake in PCN-53 (porous coordination network) as well as gas storage in MOFs functionalised with metal alkoxide sites. While fluid-solid interactions in both systems can be modelled quite well using algebraic force fields, the alkoxide sites in the functionalised MOFs require specialised versions, in order to describe the stronger adsorption energies. We discuss grand canonical Monte Carlo (GCMC) simulations of both systems. Pt is a common catalyst, and simulations have proven quite useful for providing molecular level details to understand its functionality. This involves understanding adsorption phenomena, which often requires quantum mechanical calculations. We describe our periodic boundary condition density functional theory (DFT) simulations of Pt-catalysed NO oxidation, focusing on adsorbate geometries and coverage effects. Finally, we describe one of the current 'grand challenges' in molecular simulations of adsorption, modelling catalytic activity in aqueous phase, which requires a combination of algebraic force fields, DFT and GCMC.
机译:在这里,我们回顾我们在金属有机骨架(MOFs)和铂(Pt)催化剂上的吸附模拟,重点是理解这两个非常不同的系统所需的建模方法。 MOF是具有大表面积的多孔晶体材料,有望用于各种吸附应用。我们回顾了我们在PCN-53(多孔配位网络)中的气体吸收以及在用金属醇盐位点官能化的MOF中的气体存储的模拟。虽然可以使用代数力场很好地模拟两个系统中的流体-固体相互作用,但功能化MOF中的醇盐位点需要专门的形式,以描述更强的吸附能。我们讨论了两个系统的经典规范蒙特卡洛(GCMC)仿真。 Pt是一种常见的催化剂,模拟已被证明对于提供分子水平的细节以了解其功能非常有用。这涉及了解吸附现象,这通常需要量子力学计算。我们描述了Pt催化NO氧化的周期性边界条件密度泛函理论(DFT)模拟,重点是吸附物的几何形状和覆盖效果。最后,我们描述了吸附分子模拟中的当前“巨大挑战”之一,该模型模拟了水相中的催化活性,这需要结合代数力场,DFT和GCMC。

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