金属卤化物钙钛矿的亚带隙电荷收集和能量上转换:从头算量子动力学

IF 9.4 1区 材料科学 Q1 CHEMISTRY, PHYSICAL npj Computational Materials Pub Date : 2025-01-11 DOI:10.1038/s41524-024-01467-4
Bipeng Wang, Weibin Chu, Yifan Wu, Wissam A. Saidi, Oleg V. Prezhdo
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摘要

金属卤化物钙钛矿(MHPs)具有不同寻常的性质和复杂的动力学。通过结合从头算时间依赖密度泛函数理论、非绝热分子动力学和机器学习,我们将量子动力学模拟推进到纳秒时间尺度,并证明了MHP缺陷能级的大波动将光吸收扩展到更长的波长,并使捕获的电荷逃逸到能带中。这允许低能量光子通过能量上转换形成光电流。深度缺陷级别可以瞬间变浅,反之亦然,改变了传统的缺陷分类为浅和深。与传统半导体相比,MHPs中的缺陷水平波动更大,但某些水平(例如Pb间隙)仍然远离能带边缘,充当电荷重组中心。尽管如此,许多基于静态结构的缺陷被认为是有害的,实际上是良性的,可以促进能量的上转换。扩展的光收集和能量上转换为新型太阳能、光电和量子信息器件的设计提供了策略。
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Sub-bandgap charge harvesting and energy up-conversion in metal halide perovskites: ab initio quantum dynamics

Metal halide perovskites (MHPs) exhibit unusual properties and complex dynamics. By combining ab initio time-dependent density functional theory, nonadiabatic molecular dynamics and machine learning, we advance quantum dynamics simulation to nanosecond timescale and demonstrate that large fluctuations of MHP defect energy levels extend light absorption to longer wavelengths and enable trapped charges to escape into bands. This allows low energy photons to contribute to photocurrent through energy up-conversion. Deep defect levels can become shallow transiently and vice versa, altering the traditional defect classification into shallow and deep. While defect levels fluctuate more in MHPs than traditional semiconductors, some levels, e.g., Pb interstitials, remain far from band edges, acting as charge recombination centers. Still, many defects deemed detrimental based on static structures, are in fact benign and can contribute to energy up-conversion. The extended light harvesting and energy up-conversion provide strategies for design of novel solar, optoelectronic, and quantum information devices.

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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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