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Active Space Selection Based on Natural Orbital Occupation Numbers from n-Electron Valence Perturbation Theory

机译:基于N型电子价扰动理论的自然轨道占用数字的主动空间选择

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Efficient and robust approximations to the full configuration interaction (full-CI) method such as the density matrix renormalization group (DMRG) and the full-CI quantum Monte Carlo (FCIQMC) algorithm allow for multiconfigurational self-consistent field (MC-SCF) calculations of molecules with many large and complex systems that were previously untractable, but at strongly correlated electrons. This opens up the possibility to treat the same time it calls for an efficient and reliable active space selection as the choice of how many electrons and orbitals enter the active space is critical for any multireference calculation. In this work we propose an Active Space Selection based on 1st order perturbation theory (ASSIST) that follows a "bottom-up" strategy and utilizes a set of quasi-natural orbitals together with sensible thresholds for their occupation numbers. The required quasi-natural orbitals are generated by diagonalizing the virtual and internal part of the one-electron reduced density matrix that is obtained from strongly contracted n-electron valence perturbation theory (SC-NEVPT) on top of a minimal active space calculation. Self-consistent results can be obtained when the proposed selection scheme is applied iteratively. Initial applications on four chemically relevant benchmark systems indicate the capabilities of ASSIST. Eventually, the strengths and limitations are critically discussed.
机译:诸如密度矩阵重新运算组(DMRG)和全CI量子蒙特卡罗(FCIQMC)算法的完整配置交互(全CI)方法的高效且稳健的近似允许多集合自我一致字段(MC-SCF)计算具有许多大型和复杂的系统的分子,其先前是不可能的,但在强烈相关的电子中。这使得能够处理同一时间的可能性,它呼叫有效且可靠的主动空间选择作为选择有多少电子和轨道输入活动空间对于任何多次传输计算至关重要。在这项工作中,我们提出了一种基于第1次扰动理论(辅助)的活动空间选择,其遵循“自下而上”策略,并利用一组准自然轨道与其占用阈值合作。通过对角度地对沿着强缩合的N型电子价扰动理论(SC-Nevpt)的虚拟和内部部分对抗在最小的有源空间计算之上来对抗一颗粒的虚拟和内部部分来产生所需的准天然轨道。当迭代地应用所提出的选择方案时,可以获得自我一致的结果。四个化学相关的基准系统上的初始应用表明了辅助的能力。最终,批判性和局限性讨论。

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