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Zheng DG, Kim DH. Degradation mechanisms of perovskite light-emitting diodes under electrical bias. NANOPHOTONICS (BERLIN, GERMANY) 2023; 12:451-476. [PMID: 39635398 PMCID: PMC11502103 DOI: 10.1515/nanoph-2022-0569] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 10/30/2022] [Indexed: 12/07/2024]
Abstract
Metal-halide perovskite light-emitting diodes (PeLEDs) are considered as new-generation highly efficient luminescent materials for application in displays and solid-state lighting. Since the first successful demonstration of PeLEDs in 2014, the research on the development of efficient PeLEDs has progressed significantly. Although the device efficiency has significantly improved over a short period of time, their overall performance has not yet reached the levels of mature technologies for practical applications. Various degradation processes are the major impediment to improving the performance and stability of PeLED devices. In this review, we discuss various analysis techniques that are necessary to gain insights into the effects of various degradation mechanisms on the performance and stability of PeLEDs. Based on the causes and effects of external and internal factors, the degradation processes and associated mechanisms are examined in terms of critical physical and chemical parameters. Further, according to the progress of the current research, the challenges faced in studying degradation mechanisms are also elucidated. Given the universality of the degradation behavior, an in-depth understanding of the device degradation may promote the development of optimization strategies and further improve the performance and stability of PeLEDs.
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Affiliation(s)
- Dong Guang Zheng
- Department of Chemistry and Nano Science, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul03760, Korea
| | - Dong Ha Kim
- Department of Chemistry and Nano Science, Ewha Womans University, 52, Ewhayeodae-gil, Seodaemun-gu, Seoul03760, Korea
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Liu F, Wu R, Zeng Y, Wei J, Li H, Manna L, Mohite AD. Halide perovskites and perovskite related materials for particle radiation detection. NANOSCALE 2022; 14:6743-6760. [PMID: 35470846 DOI: 10.1039/d2nr01292h] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Radiation detectors are widely used in physics, materials science, chemistry, and biology. Halide perovskites are known for their superior properties including tunable bandgaps and chemical compositions, high defect tolerance, solution-processable synthesis of films and crystals, and high carrier diffusion length. Recently, halide perovskites have attracted enormous interest as particle radiation detectors for both charged (α and β) and uncharged (neutrons) particles. Solid-state detectors based on single crystal perovskites can detect α particles and thermal neutrons with energy-resolved spectra. Halide perovskite scintillators are also able to detect β particles and fast neutrons. In this review, we briefly introduce the fundamentals of radiation detection and summarize the recent progress on halide perovskite detectors for particle radiation.
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Affiliation(s)
- Fangze Liu
- Advanced Research Institute of Multidisciplinary Sciences, Beijing Institute of Technology, Beijing, 100081, China.
| | - Rong Wu
- Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications, Experimental Center of Advanced Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Yicheng Zeng
- Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications, Experimental Center of Advanced Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Jing Wei
- Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications, Experimental Center of Advanced Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Hongbo Li
- Beijing Key Laboratory of Construction Tailorable Advanced Functional Materials and Green Applications, Experimental Center of Advanced Materials, School of Materials Science and Engineering, Beijing Institute of Technology, Beijing 100081, China
| | - Liberato Manna
- Nanochemistry Department, Istituto Italiano di Tecnologia, 16163 Genova, Italy
| | - Aditya D Mohite
- Department of Chemical and Biomolecular Engineering, Department of Material Science and Nanoengineering, Rice University, Houston, TX, 77005, USA.
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Westermayr J, Maurer RJ. Physically inspired deep learning of molecular excitations and photoemission spectra. Chem Sci 2021; 12:10755-10764. [PMID: 34447563 PMCID: PMC8372319 DOI: 10.1039/d1sc01542g] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 06/29/2021] [Indexed: 12/29/2022] Open
Abstract
Modern functional materials consist of large molecular building blocks with significant chemical complexity which limits spectroscopic property prediction with accurate first-principles methods. Consequently, a targeted design of materials with tailored optoelectronic properties by high-throughput screening is bound to fail without efficient methods to predict molecular excited-state properties across chemical space. In this work, we present a deep neural network that predicts charged quasiparticle excitations for large and complex organic molecules with a rich elemental diversity and a size well out of reach of accurate many body perturbation theory calculations. The model exploits the fundamental underlying physics of molecular resonances as eigenvalues of a latent Hamiltonian matrix and is thus able to accurately describe multiple resonances simultaneously. The performance of this model is demonstrated for a range of organic molecules across chemical composition space and configuration space. We further showcase the model capabilities by predicting photoemission spectra at the level of the GW approximation for previously unseen conjugated molecules.
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Affiliation(s)
- Julia Westermayr
- Department of Chemistry, University of Warwick Gibbet Hill Road Coventry CV4 7AL UK
| | - Reinhard J Maurer
- Department of Chemistry, University of Warwick Gibbet Hill Road Coventry CV4 7AL UK
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Lewis SG, Ghosh D, Jensen KL, Finkenstadt D, Shabaev A, Lambrakos SG, Liu F, Nie W, Blancon JC, Zhou L, Crochet JJ, Moody N, Mohite AD, Tretiak S, Neukirch AJ. Cesium-Coated Halide Perovskites as a Photocathode Material: Modeling Insights. J Phys Chem Lett 2021; 12:6269-6276. [PMID: 34197122 DOI: 10.1021/acs.jpclett.1c01412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Photocathodes emit electrons when illuminated, a process utilized across many technologies. Cutting-edge applications require a set of operating conditions that are not met with current photocathode materials. Meanwhile, halide perovskites have been studied extensively and have shown a lot of promise for a wide variety of optoelectronic applications. Well-documented halide perovskite properties such as inexpensive growth techniques, improved carrier mobility, low trap density, and tunable direct band gaps make them promising candidates for next-generation photocathode materials. Here, we use density functional theory to explore the possible application of pure inorganic perovskites (CsPbBr3 and CsPbI3) as photocathodes. It is determined that the addition of a Cs coating improved the performance by lowering the work function anywhere between 1.5 and 3 eV depending on the material, crystal surface, and surface coverage. A phenomenological model, modified from that developed by Gyftopoulos and Levine, is used to predict the reduction in work function with Cs coverage. The results of this work aim to guide the further experimental development of Cs-coated halide perovskites for photocathode materials.
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Affiliation(s)
- Sina G Lewis
- Department of Physics, University of Colorado-Boulder, Boulder, Colorado 43210, United States
| | | | - Kevin L Jensen
- U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
| | | | - Andrew Shabaev
- U.S. Naval Research Laboratory, Washington, D.C. 20375, United States
| | | | | | | | - Jean-Christophe Blancon
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77006, United States
| | - Liujiang Zhou
- Institute of Fundamental and Frontier, Sciences, University of Electronic Science and Technology of China, Chengdu 610054, P. R. China
| | | | | | - Aditya D Mohite
- Department of Chemical and Biomolecular Engineering, Rice University, Houston, Texas 77006, United States
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