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Dual-basis methods for electronic structure theory.

机译:电子结构理论的双基方法。

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The expansion of a complicated wavefunction in a basis of simple functions is one of the most common approximations in computational quantum chemistry. The most well-known example of this procedure is the use of Gaussian atomic orbitals for self-consistent field (SCF) wavefunctions, taken here to include Hartree-Fock (HF) and Density Functional Theory (DFT). The accuracy of energies and properties is closely tied to the size and quality of the basis. While correlated-electron energies depend more strongly on basis set size than SCF energies, a HF reference state is the pervasive starting point for nearly all common treatments of electron correlation.;Simply put, the small basis sets, such as the popular 6-31G* basis, are insufficient for accurate quantum chemistry. Unfortunately, extending the basis set beyond this range leads to a host of practical computational challenges. While linearly scaling techniques have been developed to successfully tackle the system-size dependence of SCF calculations, the formal quartic scaling with respect to the number of basis functions introduces an unmanageable prefactor that prevents access to the linear scaling regime. Furthermore, the sparsity necessary for linearly scaling calculations is reduced when spatially extended basis sets with high angular momentum are utilized, the very kind of basis sets required for accurate quantum chemical simulations.;In order to bridge this price/performance gap, a Dual-Basis (DB) ansatz for the SCF energy is developed. A perturbative correction in a large basis set is combined with a smaller basis set reference energy, denoted as (large) ← (small). This correction amounts to an approximate, single Roothaan step in the target basis set and accounts for density relaxation effects to first order. The computational cost of a HF/DFT energy calculation is reduced by roughly the number of SCF cycles in the target basis, typically a factor of ten. Speedups in the analytical gradient are more modest, due the need to solve an orbital response equation. This response equation may be formulated in the small basis set, however, and still leads to factor-of-three savings for geometry optimizations. The small-basis response formulation is also exploited in the bottleneck step of the analytical Hessian. Preliminary results indicate that DB-DFT frequencies are accurate, and a proposed algorithm again indicates possible 10-fold reduction in computational cost.;The resolution-of-the-identity (RI) approximation has drastically reduced the cost of perturbative correlation calculations (MP2), shifting the dominant cost contributor back to the underlying HF calculation. The DB-SCF method is well-suited for this situation and provides fast reference energies, combined with large basis set correlation energies. Bond-breaking energies, for example, are in error by less than 0.08 kcal/mol and orders of magnitude smaller than use of the smaller basis set alone. Analytical derivatives of this DB-MP2 method are presented. Dual-basis subsets for non-covalent interactions are straightforward and highly accurate, and a detailed demonstration on a prototype system, relevant to self-assembled monolayers, is presented.;Of course, even a factor-of-10 reduction in the computational prefactor cannot make all chemical systems computationally tractable with large basis sets. The aforementioned 6-31G* basis still benefits significantly from a DB-SCF scheme, and, when paired with a newly constructed 6-4G minimal basis set, provides a means to include polarization functions in otherwise less accurate calculations for large systems.;Thus, the work contained herein provides a unique means for fast and accurate characterization of the potential energy surface. A critical assessment is provided throughout and in the concluding chapter, along with several potential extensions for further development.
机译:在简单函数的基础上扩展复杂波函数是计算量子化学中最常见的近似值之一。此过程最著名的示例是将高斯原子轨道用于自洽场(SCF)波函数,此处包括Hartree-Fock(HF)和密度泛函理论(DFT)。能量和特性的准确性与基础的大小和质量紧密相关。尽管相关电子能量比SCF能量对基集大小的依赖性更大,但HF参考状态是几乎所有常见的电子相关处理的普遍起点。简单地说,较小的基集,例如流行的6-31G *基础,不足以进行精确的量子化学。不幸的是,将基础集扩展到此范围之外会导致许多实际的计算挑战。虽然已经开发出线性缩放技术来成功解决SCF计算的系统大小依赖性,但相对于基本函数的数量而言,正式的四次缩放引入了无法控制的前置因数,从而阻止了对线性缩放机制的访问。此外,当使用具有高角动量的空间扩展基集时,线性缩放计算所需的稀疏度降低了,这是精确量子化学模拟所需的基集。为了弥合这一价格/性能差距,Dual-开发了用于SCF能量的基础(DB)ansatz。大基集中的微扰校正与较小的基集参考能量组合在一起,表示为(大)←(小)。该校正相当于目标基础集中的一个近似Roothaan步骤,并且将密度松弛效应解释为一阶。在目标基础上,HF / DFT能量计算的计算成本大约减少了SCF循环数,通常减少了十倍。由于需要求解轨道响应方程,因此解析梯度中的加速更为适度。该响应方程式可以用较小的基集来表示,但是仍然可以节省几何优化的三分之一。在分析黑森州的瓶颈步骤中,也采用了小基础响应公式。初步结果表明DB-DFT频率是准确的,并且所提出的算法再次表明可能将计算成本降低10倍;;恒等分辨率(RI)近似已大大降低了微扰相关计算(MP2)的成本),将主要的成本贡献者转移回基础的HF计算。 DB-SCF方法非常适合这种情况,并提供快速的参考能量以及大的基集相关能量。例如,键断裂能的误差小于0.08 kcal / mol,比单独使用较小的基数小几个数量级。给出了该DB-MP2方法的分析派生词。非共价相互作用的双基子集非常简单且非常准确,并给出了与自组装单分子层有关的原型系统的详细演示。;当然,即使计算的前因子减少了十分之一不能使所有化学系统在大型基础上都易于计算。前面提到的6-31G *基础仍然可以从DB-SCF方案中显着受益,并且当与新构建的6-4G最小基础集配对时,可以提供一种将极化函数包括在大型系统否则不那么精确的计算中的方法。 ,本文所包含的工作提供了一种独特的手段,用于快速准确地表征势能表面。在本章的结尾和整个章节中都提供了重要的评估,并提供了一些潜在的扩展,以进一步发展。

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