Theoretical approaches for the description of plasmon generated hot carriers phenomena

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL npj Computational Materials Pub Date : 2024-09-17 DOI:10.1038/s41524-024-01412-5
Mirko Vanzan, Margherita Marsili
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Abstract

Plasmonic-driven photocatalysis is one of the most vibrant and promising field in nanoscience. Out of the various mechanisms known to activate chemical reactions in molecules interacting with optically excited nanostructures, the one involving production and transfer of Hot Carriers (HCs) is among the most relevant. Over the past decade, along with stunning advances on HCs control and manipulation, a variety of theoretical and computational strategies have been developed to model this phenomenon and explore its underlying physics. These techniques have provided comprehensive understandings of HCs life stages and dynamics, and allowed valuable insights on their role in photocatalysis. However, to date it is hard to extricate within the plethora of methods developed and the growing number of applications they found. The purpose of this review is to survey the approaches employed so far to model HCs photophysics, rationalizing and classifying the different studies in terms of modelization, theoretical approaches, and approximations.

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描述等离子体产生的热载流子现象的理论方法
等离子体驱动的光催化是纳米科学中最具活力和前景的领域之一。在各种已知的激活分子与光激发纳米结构相互作用的化学反应的机制中,涉及热载体(HCs)的产生和转移的机制是最相关的机制之一。在过去十年中,随着热载体控制和操纵方面的惊人进展,人们开发了各种理论和计算策略来模拟这一现象并探索其基本物理原理。这些技术让人们全面了解了碳氢化合物的生命阶段和动力学,并对其在光催化中的作用有了宝贵的见解。然而,迄今为止,我们还很难从已开发的大量方法及其日益增多的应用中解脱出来。本综述旨在调查迄今为止用于建立碳氢化合物光物理模型的方法,从建模、理论方法和近似值等方面对不同的研究进行合理的分类。
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来源期刊
npj Computational Materials
npj Computational Materials Mathematics-Modeling and Simulation
CiteScore
15.30
自引率
5.20%
发文量
229
审稿时长
6 weeks
期刊介绍: npj Computational Materials is a high-quality open access journal from Nature Research that publishes research papers applying computational approaches for the design of new materials and enhancing our understanding of existing ones. The journal also welcomes papers on new computational techniques and the refinement of current approaches that support these aims, as well as experimental papers that complement computational findings. Some key features of npj Computational Materials include a 2-year impact factor of 12.241 (2021), article downloads of 1,138,590 (2021), and a fast turnaround time of 11 days from submission to the first editorial decision. The journal is indexed in various databases and services, including Chemical Abstracts Service (ACS), Astrophysics Data System (ADS), Current Contents/Physical, Chemical and Earth Sciences, Journal Citation Reports/Science Edition, SCOPUS, EI Compendex, INSPEC, Google Scholar, SCImago, DOAJ, CNKI, and Science Citation Index Expanded (SCIE), among others.
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