Department of Physics, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden.
Department of Applied Physics, Aalto University, FI-00076 Aalto, Finland.
Nano Lett. 2022 Nov 9;22(21):8786-8792. doi: 10.1021/acs.nanolett.2c02327. Epub 2022 Oct 6.
While direct hot-carrier transfer can increase photocatalytic activity, it is difficult to discern experimentally and competes with several other mechanisms. To shed light on these aspects, here, we model from first-principles hot-carrier generation across the interface between plasmonic nanoparticles and a CO molecule. The hot-electron transfer probability depends nonmonotonically on the nanoparticle-molecule distance and can be effective at long distances, even before a strong chemical bond can form; hot-hole transfer on the other hand is limited to shorter distances. These observations can be explained by the energetic alignment between molecular and nanoparticle states as well as the excitation frequency. The hybridization of the molecular orbitals is the key predictor for hot-carrier transfer in these systems, emphasizing the necessity of ground state hybridization for accurate predictions. Finally, we show a nontrivial dependence of the hot-carrier distribution on the excitation energy, which could be exploited when optimizing photocatalytic systems.
虽然直接热载流子转移可以提高光催化活性,但在实验中很难辨别,并且与其他几种机制竞争。为了阐明这些方面,在这里,我们从第一性原理出发,对等离子体纳米粒子和 CO 分子之间界面处的热载流子生成进行建模。热电子转移概率与纳米粒子-分子距离呈非单调关系,即使在形成强化学键之前,在长距离上也可以有效;另一方面,热空穴转移仅限于较短的距离。这些观察结果可以通过分子和纳米粒子状态之间的能量排列以及激发频率来解释。分子轨道的杂化是这些体系中热载流子转移的关键预测指标,强调了为了进行准确预测,需要对基态杂化进行优化。最后,我们展示了热载流子分布对激发能量的非平凡依赖性,这在优化光催化体系时可能会被利用。