论文标题

多Quasiparticle相互作用在分子电离中重要吗?

Are multi-quasiparticle interactions important in molecular ionization?

论文作者

Mejuto-Zaera, Carlos, Weng, Guorong, Romanova, Mariya, Cotton, Stephen J., Whaley, K. Birgitta, Tubman, Norm M., Vlček, Vojtěch

论文摘要

光发射光谱直接探测单个电子状态,从单个激发到高能卫星,它们同时代表多个准粒子(QPS),并编码有关电子相关性的信息。对光谱的第一原理描述需要对所有多体效应进行有效,准确的处理。对于单个QP图片分解的内价激励,这尤其具有挑战性。在这里,我们提供了小型封闭壳分子的完整价光谱,探索了独立且相互作用的准粒子制度,并使用完全相关的自适应采样构型相互作用(ASCI)方法计算得出。我们将这些结果与基于$ GW $和VERTEX校正后的$GWγ$方法的多体扰动理论进行了批判性比较。后者明确地说明了经常被忽略的两QP量子相互作用。我们证明,对于分子系统,顶点校正普遍改善了理论光谱,对于准确预测QP和捕获高能激发的富卫星结构至关重要。 $GWγ$在所有相关能量尺度上提供了统一的描述。我们的结果表明,多QP制度对应于动态相关性,可以通过扰动理论描述。

Photo-emission spectroscopy directly probes individual electronic states, ranging from single excitations to high-energy satellites, which simultaneously represent multiple quasiparticles (QPs) and encode information about electronic correlation. First-principles description of the spectra requires an efficient and accurate treatment of all many-body effects. This is especially challenging for inner valence excitations where the single QP picture breaks down. Here, we provide the full valence spectra of small closed-shell molecules, exploring the independent and interacting quasiparticle regimes, computed with the fully-correlated adaptive sampling configuration interaction (ASCI) method. We critically compare these results to calculations with the many-body perturbation theory, based on the $GW$ and vertex corrected $GWΓ$ approaches. The latter explicitly accounts for two-QP quantum interactions, which have been often neglected. We demonstrate that for molecular systems, the vertex correction universally improves the theoretical spectra, and it is crucial for accurate prediction of QPs as well as capturing the rich satellite structures of high-energy excitations. $GWΓ$ offers a unified description across all relevant energy scales. Our results suggest that the multi-QP regime corresponds to dynamical correlations, which can be described via perturbation theory.

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