Schirato Andrea, Sanders Stephen Keith, Proietti Zaccaria Remo, Nordlander Peter, Della Valle Giuseppe, Alabastri Alessandro
Department of Physics, Politecnico di Milano, Milano 20133, Italy.
Department of Electrical and Computer Engineering, Rice University, Houston, Texas 77005, United States.
ACS Nano. 2024 Jul 23;18(29):18933-18947. doi: 10.1021/acsnano.4c01802. Epub 2024 Jul 11.
Photocatalysis with plasmonic nanostructures has lately emerged as a transformative paradigm to drive and alter chemical reactions using light. At the surface of metallic nanoparticles, photoexcitation results in strong near fields, short-lived high-energy "hot" carriers, and light-induced heating, thus creating a local environment where reactions can occur with enhanced efficiencies. In this context, it is critical to understand how to manipulate the nonequilibrium processes triggered by light, as their ultrafast (femto- to picoseconds) relaxation dynamics compete with the process of energy transfer toward the reactants. Accurate predictions of the plasmon photocatalytic activity can lead to optimized nanophotonic architectures with enhanced selectivity and rates, operating beyond the intrinsic limitations of the steady state. Here, we report on an original modeling approach to quantify, with space, time, and energy resolution, the ultrafast energy exchange from plasmonic hot carriers (HCs) to molecular systems adsorbed on the metal nanoparticle surface while consistently accounting for photothermal bond activation. Our analysis, illustrated for a few typical cases, reveals that the most energetic nonequilibrium carriers (i.e., with energies well far from the Fermi level) may introduce a wavelength-dependence of the reaction rates, and it elucidates on the role of the carriers closer to the Fermi energy and the photothermally heated lattice, suggesting ways to enhance and optimize each contribution. We show that the overall reaction rates can benefit strongly from using pulsed illumination with the optimal pulse width determined by the properties of the system. Taken together, these results contribute to the rational design of nanoreactors for pulsed catalysis, which calls for predictive modeling of the ultrafast HC-hot adsorbate energy transfer.
等离子体纳米结构光催化近来已成为一种变革性范例,用于利用光驱动和改变化学反应。在金属纳米颗粒表面,光激发会产生强近场、寿命短暂的高能“热”载流子以及光致加热,从而营造出一个能使反应以更高效率发生的局部环境。在此背景下,理解如何操控由光引发的非平衡过程至关重要,因为它们超快(飞秒到皮秒)的弛豫动力学与能量向反应物转移的过程相互竞争。对等离子体光催化活性的准确预测能够带来具有更高选择性和速率的优化纳米光子结构,其运行超越了稳态的固有局限。在此,我们报告一种原创的建模方法,该方法能以空间、时间和能量分辨率量化从等离子体热载流子(HCs)到吸附在金属纳米颗粒表面的分子系统的超快能量交换,同时始终考虑光热键活化。我们针对一些典型案例进行的分析表明,能量最高的非平衡载流子(即能量远离费米能级的载流子)可能会使反应速率呈现波长依赖性,并阐明了接近费米能量的载流子以及光热加热晶格的作用,还提出了增强和优化每种贡献的方法。我们表明,通过使用由系统特性确定的最佳脉冲宽度的脉冲照明,整体反应速率可大幅提高。综上所述,这些结果有助于脉冲催化纳米反应器的合理设计,而这需要对超快的HC - 热吸附质能量转移进行预测性建模。