Department of Chemistry and the PULSE Institute , Stanford University , Stanford , California 94305 , United States.
SLAC National Accelerator Laboratory , Menlo Park , California 94305 , United States.
J Chem Theory Comput. 2018 Aug 14;14(8):4139-4150. doi: 10.1021/acs.jctc.8b00382. Epub 2018 Jul 16.
We present the rank-reduced full configuration interaction (RR-FCI) method, a variational approach for the calculation of extremely large full configuration interaction (FCI) wave functions. In this report, we show that RR-FCI can provide ground state singlet and triplet energies within kcal/mol accuracy of full CI (FCI) with computational effort scaling as the square root of the number of determinants in the CI space (compared to conventional FCI methods which scale linearly with the number of determinants). Fast graphical processing unit (GPU) accelerated projected σ = Hc matrix-vector product formation enables calculations with configuration spaces as large as 30 electrons in 30 orbitals, corresponding to an FCI calculation with over 2.4 × 10 configurations. We apply this method in the context of complete active space configuration interaction calculations to acenes with 2-5 aromatic rings, comparing absolute energies against FCI when possible and singlet/triplet excitation energies against both density matrix renormalization group (DMRG) and experimental results. The dissociation of molecular nitrogen was also examined using both FCI and RR-FCI. In each case, we found that RR-FCI provides a low cost alternative to FCI, with particular advantages when relative energies are desired.
我们提出了降秩完全组态相互作用(RR-FCI)方法,这是一种用于计算非常大的完全组态相互作用(FCI)波函数的变分方法。在本报告中,我们表明 RR-FCI 可以在与传统 FCI 方法(其与行列式数量呈线性关系)相比,计算工作量呈行列式数量平方根比例的情况下,以 FCI 的精度(在千卡路里/摩尔范围内)提供基态单重态和三重态能量。快速图形处理单元(GPU)加速的投影 σ = Hc 矩阵-向量乘积形成使得可以在多达 30 个电子的 30 个轨道的配置空间中进行计算,对应于超过 2.4×10 个行列式的 FCI 计算。我们将此方法应用于具有 2-5 个芳香环的完整活性空间组态相互作用计算中,尽可能地将绝对能量与 FCI 进行比较,并将单重态/三重态激发能与密度矩阵重整化群(DMRG)和实验结果进行比较。还使用 FCI 和 RR-FCI 检查了分子氮的离解。在每种情况下,我们发现 RR-FCI 提供了 FCI 的低成本替代方案,特别是在需要相对能量时具有优势。