Benali Anouar, Shin Hyeondeok, Heinonen Olle
Computational Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.
Material Science Division, Argonne National Laboratory, Argonne, Illinois 60439, USA.
J Chem Phys. 2020 Nov 21;153(19):194113. doi: 10.1063/5.0026275.
We have used diffusion Monte Carlo (DMC) to perform calculations on the L7 benchmark set. DMC is a stochastic numerical integration scheme in real-space and part of a larger set of quantum Monte Carlo methods. The L7 set was designed to test the ability of electronic structure methods to include dispersive interactions. While the agreement between DMC and quantum-chemical state-of-the-art methods is excellent for some of the structures, there are significant differences in others. In contrast to wavefunction-based quantum chemical methods, DMC is a first-principle many-body method with the many-body wavefunction evolving in real space. It includes explicitly all electron-electron interactions and is relatively insensitive to the size of the basis set.
我们使用扩散蒙特卡罗(DMC)方法对L7基准集进行了计算。DMC是一种实空间中的随机数值积分方案,是更大的量子蒙特卡罗方法集的一部分。L7集旨在测试电子结构方法包含色散相互作用的能力。虽然DMC与量子化学的先进方法在某些结构上的一致性非常好,但在其他结构上存在显著差异。与基于波函数的量子化学方法不同,DMC是一种第一性原理多体方法,多体波函数在实空间中演化。它明确包含了所有电子-电子相互作用,并且对基组大小相对不敏感。