Ballesteros Francisco, Tan Jake A, Lao Ka Un
Department of Chemistry, Virginia Commonwealth University, Richmond, Virginia 23284, USA.
J Chem Phys. 2023 Aug 21;159(7). doi: 10.1063/5.0160810.
With relevant chemical space growing larger and larger by the day, the ability to extend computational tractability over that larger space is of paramount importance in virtually all fields of science. The solution we aim to provide here for this issue is in the form of the generalized many-body expansion for building density matrices (GMBE-DM) based on the set-theoretical derivation with overlapping fragments, through which the energy can be obtained by a single Fock build. In combination with the purification scheme and the truncation at the one-body level, the DM-based GMBE(1)-DM-P approach shows both highly accurate absolute and relative energies for medium-to-large size water clusters with about an order of magnitude better than the corresponding energy-based GMBE(1) scheme. Simultaneously, GMBE(1)-DM-P is about an order of magnitude faster than the previously proposed MBE-DM scheme [F. Ballesteros and K. U. Lao, J. Chem. Theory Comput. 18, 179 (2022)] and is even faster than a supersystem calculation without significant parallelization to rescue the fragmentation method. For even more challenging systems including ion-water and ion-pair clusters, GMBE(1)-DM-P also performs about 3 and 30 times better than the energy-based GMBE(1) approach, respectively. In addition, this work provides the first overlapping fragmentation algorithm with a robust and effective binning scheme implemented internally in a popular quantum chemistry software package. Thus, GMBE(1)-DM-P opens a new door to accurately and efficiently describe noncovalent clusters using quantum mechanics.
随着相关化学空间日益增大,在几乎所有科学领域中,将计算可处理性扩展到更大空间的能力至关重要。我们在此旨在为该问题提供的解决方案是基于具有重叠片段的集合论推导构建密度矩阵的广义多体展开(GMBE-DM)形式,通过这种方式可以通过单次福克构建获得能量。结合纯化方案和单粒子水平的截断,基于密度矩阵的GMBE(1)-DM-P方法对于中大型水团簇显示出高精度的绝对能量和相对能量,比相应的基于能量的GMBE(1)方案大约好一个数量级。同时,GMBE(1)-DM-P比先前提出的MBE-DM方案[F. Ballesteros和K. U. Lao,《化学理论与计算杂志》18, 179 (2022)]快大约一个数量级,甚至比没有显著并行化来挽救碎片化方法的超系统计算还要快。对于更具挑战性的系统,包括离子-水和离子对团簇,GMBE(1)-DM-P分别比基于能量的GMBE(1)方法表现好约3倍和30倍。此外,这项工作提供了第一个在流行量子化学软件包内部实现了强大且有效分箱方案的重叠碎片化算法。因此,GMBE(1)-DM-P为使用量子力学准确高效地描述非共价团簇打开了一扇新的大门。