论文标题

苯的基态电子能

The Ground State Electronic Energy of Benzene

论文作者

Eriksen, Janus J., Anderson, Tyler A., Deustua, J. Emiliano, Ghanem, Khaldoon, Hait, Diptarka, Hoffmann, Mark R., Lee, Seunghoon, Levine, Daniel S., Magoulas, Ilias, Shen, Jun, Tubman, Norman M., Whaley, K. Birgitta, Xu, Enhua, Yao, Yuan, Zhang, Ning, Alavi, Ali, Chan, Garnet Kin-Lic, Head-Gordon, Martin, Liu, Wenjian, Piecuch, Piotr, Sharma, Sandeep, Ten-no, Seiichiro L., Umrigar, C. J., Gauss, Jürgen

论文摘要

我们报告了一项盲目挑战的发现,该发现致力于确定苯分子的冷冻核,完整的配置相互作用(FCI)基态能量在标准相关性的基础基准的基准集合的基础集中。作为一项广泛的国际努力,我们的基于波函数的相关方法统一代表了现代电子结构理论提供的高准确性曲目的多样化观点。在我们的评估中,发现了评估的高级方法都在定性上是在最终相关能源上一致的,大多数方法都产生了FCI值的估计值左右$ -863 $ -863 $ M $ e _ {\ text {h}} $。但是,我们发现能量与所研究方法的根平方偏差是相当大的(1.3 m $ e _ {\ text {h}} $),鉴于较小分子系统的每种方法的尊敬的性能清楚地显示出可靠的可靠的,近可验证的较较大的较较大的系统所面临的挑战。尽管我们的研究暴露出来的差异强调了当前最新方法的事实,但我们仍然希望目前的评估为实现基准和校准目的提供宝贵的社区资源。

We report on the findings of a blind challenge devoted to determining the frozen-core, full configuration interaction (FCI) ground state energy of the benzene molecule in a standard correlation-consistent basis set of double-$ζ$ quality. As a broad international endeavour, our suite of wave function-based correlation methods collectively represents a diverse view of the high-accuracy repertoire offered by modern electronic structure theory. In our assessment, the evaluated high-level methods are all found to qualitatively agree on a final correlation energy, with most methods yielding an estimate of the FCI value around $-863$ m$E_{\text{H}}$. However, we find the root-mean-square deviation of the energies from the studied methods to be considerable (1.3 m$E_{\text{H}}$), which in light of the acclaimed performance of each of the methods for smaller molecular systems clearly displays the challenges faced in extending reliable, near-exact correlation methods to larger systems. While the discrepancies exposed by our study thus emphasize the fact that the current state-of-the-art approaches leave room for improvement, we still expect the present assessment to provide a valuable community resource for benchmark and calibration purposes going forward.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源