Thomas Young Centre and London Centre for Nanotechnology, 17-19 Gordon Street, London WC1H 0AH, United Kingdom.
Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany.
J Chem Phys. 2017 Jul 28;147(4):044710. doi: 10.1063/1.4985878.
Molecular adsorption on surfaces plays an important part in catalysis, corrosion, desalination, and various other processes that are relevant to industry and in nature. As a complement to experiments, accurate adsorption energies can be obtained using various sophisticated electronic structure methods that can now be applied to periodic systems. The adsorption energy of water on boron nitride substrates, going from zero to 2-dimensional periodicity, is particularly interesting as it calls for an accurate treatment of polarizable electrostatics and dispersion interactions, as well as posing a practical challenge to experiments and electronic structure methods. Here, we present reference adsorption energies, static polarizabilities, and dynamic polarizabilities, for water on BN substrates of varying size and dimension. Adsorption energies are computed with coupled cluster theory, fixed-node quantum Monte Carlo (FNQMC), the random phase approximation, and second order Møller-Plesset theory. These wavefunction based correlated methods are found to agree in molecular as well as periodic systems. The best estimate of the water/h-BN adsorption energy is -107±7 meV from FNQMC. In addition, the water adsorption energy on the BN substrates could be expected to grow monotonically with the size of the substrate due to increased dispersion interactions, but interestingly, this is not the case here. This peculiar finding is explained using the static polarizabilities and molecular dispersion coefficients of the systems, as computed from time-dependent density functional theory (DFT). Dynamic as well as static polarizabilities are found to be highly anisotropic in these systems. In addition, the many-body dispersion method in DFT emerges as a particularly useful estimation of finite size effects for other expensive, many-body wavefunction based methods.
分子在表面上的吸附在催化、腐蚀、淡化和其他各种与工业和自然界相关的过程中起着重要作用。作为实验的补充,可以使用各种复杂的电子结构方法来获得准确的吸附能,这些方法现在可以应用于周期性系统。水在氮化硼衬底上的吸附能,从零到二维周期性,特别有趣,因为它需要精确处理极化静电和色散相互作用,并且对实验和电子结构方法构成实际挑战。在这里,我们给出了不同大小和维度的 BN 衬底上水的参考吸附能、静态极化率和动态极化率。吸附能是用耦合簇理论、固定节点量子蒙特卡罗(FNQMC)、随机相位近似和二阶 Møller-Plesset 理论计算的。这些基于波函数的相关方法在分子和周期性系统中都得到了一致的结果。从 FNQMC 得到的水/h-BN 吸附能的最佳估计值为-107±7 meV。此外,由于色散相互作用的增加,预计 BN 衬底上水的吸附能会随着衬底尺寸的增加而单调增加,但有趣的是,这里并非如此。这种特殊的发现可以用系统的静态极化率和分子色散系数来解释,这些极化率和色散系数是从含时密度泛函理论(DFT)计算得到的。在这些系统中,动态和静态极化率都表现出高度各向异性。此外,DFT 中的多体色散方法被证明是一种特别有用的估计方法,可以用于其他昂贵的多体波函数方法的有限尺寸效应。