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Extrapolating Unconverged GW Energies up to the Complete Basis Set Limit with Linear Regression

机译:将无常常的GW能量推断到线性回归的完整基础设定限制

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The GW approximation to the electronic self-energy is now a well-recognized approach to obtain the electron quasiparticle energies of molecules and, in particular, their ionization potential and electron affinity. Though much faster than the corresponding wavefunction methods, the GW energies are still affected by slow convergence with respect to the basis completeness. This limitation hinders a wider application of the GW approach. Here, we show that we can reach the complete basis set limit for the cumbersome GW calculations solely based on fast preliminary calculations with an unconverged basis set. We introduce a linear model that correlates the molecular orbital characteristics and the basis convergence error for a large database of approximately 600 states in 104 organic molecules that contain H, C, O, N, F, P, S, and Cl. The model employs molecular-orbital-based non-linear descriptors that encode efficiently the chemical space offering outstanding transferability. Using a low number of descriptors (17) the performance of this extrapolation procedure is superior to that of the earlier more physically motivated approaches. The predictive power of the method is finally demonstrated for a selection of large acceptor molecules.
机译:现在,电子自能的GW近似是一种公认​​的方法,可以获得分子的电子Quasiplicle能量,特别是它们的电离电位和电子亲和力。虽然比相应的波失速方法快得多,但GW能量仍然受到基础完整性的缓慢收敛的影响。这种限制妨碍了GW方法的更广泛应用。在这里,我们表明我们可以仅根据具有不协调的基础集的快速初步计算来达到笨重的GW计算的完整基础设定限制。我们引入了一种线性模型,其将分子轨道特征和基础会聚误差相关,在104个有机分子中含有H,C,O,N,F,P,S和Cl的104个有机分子中大约600个态的大型数据库。该模型采用基于分子轨道的非线性描述符,可有效地编码化学空间,提供出色的可转移性。使用低数量的描述符(17)这种外推过程的性能优于前面的更常见的方法的方法。该方法的预测力最终展示了一系列大受体分子。

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