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纳米级MgH₂团簇热力学的量子蒙特卡罗模拟

Quantum Monte Carlo simulation of nanoscale MgH2 cluster thermodynamics.

作者信息

Wu Zhigang, Allendorf Mark D, Grossman Jeffrey C

机构信息

Berkeley Nanotechnology and Nanoscience Institute, University of California, Berkeley, California 94720, USA.

出版信息

J Am Chem Soc. 2009 Oct 7;131(39):13918-9. doi: 10.1021/ja905639m.

Abstract

We calculated the desorption energy of MgH(2) clusters using the highly accurate quantum Monte Carlo (QMC) approach, which can provide desorption energies with chemical accuracy (within approximately 1 kcal/mol) and therefore provides a valuable benchmark for such hydrogen-storage simulations. Compared with these QMC results, the most widely used density functional theory (DFT) computations (including a wide range of exchange-correlation functionals) cannot reach a consistent and suitable level of accuracy across the thermodynamically tunable range for MgH(2) clusters. Furthermore, our QMC calculations show that the DFT error depends substantially on cluster size. These results suggest that in simulating metal-hydride systems it is very important to apply accurate methods that go beyond traditional mean-field approaches as a benchmark of their performance for a given material, and QMC is an appealing method to provide such a benchmark due to its high level of accuracy and favorable scaling (N(3)) with the number of electrons.

摘要

我们使用高度精确的量子蒙特卡罗(QMC)方法计算了MgH₂团簇的解吸能,该方法能够以化学精度(约1千卡/摩尔以内)提供解吸能,因此为这类储氢模拟提供了有价值的基准。与这些QMC结果相比,最广泛使用的密度泛函理论(DFT)计算(包括各种交换关联泛函)在MgH₂团簇的热力学可调范围内无法达到一致且合适的精度水平。此外,我们的QMC计算表明,DFT误差很大程度上取决于团簇大小。这些结果表明,在模拟金属氢化物系统时,应用超越传统平均场方法的精确方法作为给定材料性能的基准非常重要,而QMC因其高精度和与电子数成良好比例关系(N³),是提供此类基准的一种有吸引力的方法。

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