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CMP
Credit: Jack Hobhouse

Prof Henry Snaith FRS

Professor of Physics

Sub department

  • Condensed Matter Physics

Research groups

  • Snaith group
  • Advanced Device Concepts for Next-Generation Photovoltaics
Henry.Snaith@physics.ox.ac.uk
Robert Hooke Building, room G21
  • About
  • Publications

Effects of Bi and Sb ion incorporation on the optoelectronic properties of mixed lead–tin perovskites †

Journal of Materials Chemistry C Materials for optical and electronic devices Royal Society of Chemistry (2025)

Authors:

FM Rombach, L Gregori, A Sidler, J Whitworth, S Zeiske, H Jin, EY-H Hung, S Motti, P Caprioglio, A Armin, M Lenz, D Meggiolaro, F De Angelis, HJ Snaith

Abstract:

Doping with small densities of foreign ions is an essential strategy for tuning the optoelectronic properties of semiconductors, but the effects of doping are not well-understood in halide perovskites. We investigate the effect of Bi3+ and Sb3+ doping in lead–tin perovskites. Films doped with small amounts of BiI3 and SbI3 show greatly increased non-radiative recombination at precursor doping concentrations as low as 1 ppm for Bi3+ and 1000 ppm for Sb3+. We rationalize such behaviour by density functional theory (DFT) simulations, showing that these metal ions can be incorporated in the perovskite crystal by introducing deep trap levels in the band gap. Having found that very small amounts of Bi3+ greatly reduce the optoelectronic quality of lead–tin perovskite films, we investigate the presence of Bi impurities in perovskite precursor chemicals and find quantities approaching 1 ppm in some. In response, we introduce a facile method for removing Bi3+ impurities and demonstrate removal of 100 ppm Bi from a perovskite ink. This work demonstrates how the incorporation of small concentrations of foreign metal ions can severely affect film quality, raising the importance of precursor chemical purity.
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Roadmap on metal-halide perovskite semiconductors and devices

Materials Today Electronics Elsevier 11 (2025) 100138

Authors:

Ao Liu, Jun Xi, Hanlin Cen, Jinfei Dai, Yi Yang, Cheng Liu, Shuai Guo, Xiaofang Li, Xiaotian Guo, Feng Yang, Meng Li, Haoxuan Liu, Fei Zhang, Huagui Lai, Fan Fu, Shuaifeng Hu, Junke Wang, Seongrok Seo, Henry J Snaith, Jinghui Li, Jiajun Luo, Hongjin Li, Yun Gao, Xingliang Dai, Jia Zhang, Feng Gao, Zhengxun Lai, You Meng, Johnny C Ho, Wen Li, Yuntao Wu, Liping Du, Sai Bai, Huihui Zhu, Xianhang Lin, Can Deng, Liyi Yang, Liu Tang, Ahmad Imtiaz, Hanxiang Zhi, Xi Lu, Heng Li, Xiangyu Sun, Yicheng Zhao, Jian Xu, Xiaojian She, Jafar Iqbal Khan, Guanglong Ding, Su-Ting Han, Ye Zhou

Abstract:

Metal-halide perovskites are emerging as promising semiconductors for next-generation (opto)electronics. Due to their excellent optoelectronic and physical properties, as well as their processing capabilities, the past decades have seen significant progress and success in various device applications, such as solar cells, photodetectors, light-emitting diodes, and transistors. Despite their performance now rivaling or surpassing that of silicon counterparts, halide-perovskite semiconductors still face challenges for commercialization, particularly in terms of toxicity, stability, reliability, reproducibility, and lifetime. In this Roadmap, we present comprehensive discussions and perspectives from leading experts in the perovskite research community, covering various perovskite (opto)electronics, fundamental material properties and fabrication methods, photophysical characterizations, computing science, device physics, and the current challenges in each field. We hope this article provides a valuable resource for researchers and fosters the development of halide perovskites from basic to applied science.
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Determining material parameters of metal halide perovskites using time-resolved photoluminescence

PRX Energy American Physical Society 4:1 (2025) 013001

Authors:

Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine Rombach, David McMeekin, Heon Jin, Henry Snaith

Abstract:

In this work we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-Chain Monte-Carlo algorithm and a physical model. This approach enables us to infer a high number of parameters which govern the performance of metal halide perovskite-based devices, alongside the probability distributions of those parameters, as well as correlations among all parameters. Via studying a set of "half-stacks’‘, comprising electron and hole transport materials contacting perovskite thin-films, we determine surface recombination velocities at these interfaces with high precision. From the probability distributions of all inferred parameters, we can simulate intensity-dependent photoluminescence quantum efficiency and compare it to the experimental data. Finally, we estimate mobility values for the "vertical’’ charge carrier transport, that perpendicular to the plane of the substrate, for all samples using our approach. Since this mobility estimation is derived from charge carrier diffusion over the length-scale of the film thickness and in the vertical direction, it is highly relevant to transport in photovoltaic and light emitting devices. Our approach of coupling spectroscopic measurements with advanced, computational analysis will help speed up scientific research in the field of optoelectronic materials and devices and exemplifies how carefully constructed computational algorithms can derive valuable plurality of information from simple datasets. We expect that our approach will be expandable to a variety of other analysis techniques and that our method will be applicable to other semiconductors.
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Determining parameters of metal-halide perovskites using photoluminescence with Bayesian inference

PRX Energy American Physical Society 4:1 (2025) 13001

Authors:

Manuel Kober-Czerny, Akash Dasgupta, Seongrok Seo, Florine Rombach, David McMeekin, Heon Jin, Henry Snaith

Abstract:

In this work, we demonstrate that time-resolved photoluminescence data of metal halide perovskites can be effectively evaluated by combining Bayesian inference with a Markov-chain Monte-Carlo algorithm and a physical model. This approach enables us to infer a high number of parameters that govern the performance of metal halide perovskite-based devices, alongside the probability distributions of those parameters, as well as correlations among all parameters. Via studying a set of halfstacks, comprising electron- and hole-transport materials contacting perovskite thin films, we determine surface recombination velocities at these interfaces with high precision. From the probability distributions of all inferred parameters, we can simulate intensity-dependent photoluminescence quantum efficiency and compare it to experimental data. Finally, we estimate mobility values for vertical charge-carrier transport, which is perpendicular to the plane of the substrate, for all samples using our approach. Since this mobility estimation is derived from charge-carrier diffusion over the length scale of the film thickness and in the vertical direction, it is highly relevant for transport in photovoltaic and light-emitting devices. Our approach of coupling spectroscopic measurements with advanced computational analysis will help speed up scientific research in the field of optoelectronic materials and devices and exemplifies how carefully constructed computational algorithms can derive valuable plurality of information from simple datasets. We expect that our approach can be expanded to a variety of other analysis techniques and that our method will be applicable to other semiconductors.
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Performance and stability analysis of all-perovskite tandem photovoltaics in light-driven electrochemical water splitting

Nature Communications Springer Nature 16:1 (2025) 174

Authors:

Junke Wang, Bruno Branco, Willemijn HM Remmerswaal, Shuaifeng Hu, Nick RM Schipper, Valerio Zardetto, Laura Bellini, Nicolas Daub, Martijn M Wienk, Atsushi Wakamiya, Henry J Snaith, René AJ Janssen

Abstract:

All-perovskite tandem photovoltaics are a potentially cost-effective technology to power chemical fuel production, such as green hydrogen. However, their application is limited by deficits in open-circuit voltage and, more challengingly, poor operational stability of the photovoltaic cell. Here we report a laboratory-scale solar-assisted water-splitting system using an electrochemical flow cell and an all-perovskite tandem solar cell. We begin by treating the perovskite surface with a propane-1,3-diammonium iodide solution that reduces interface non-radiative recombination losses and achieves an open-circuit voltage above 90% of the detailed-balance limit for single-junction solar cells between the bandgap of 1.6–1.8 eV. Specifically, a high open-circuit voltage of 1.35 V and maximum power conversion efficiency of 19.9% are achieved at a 1.77 eV bandgap. This enables monolithic all-perovskite tandem solar cells with a 26.0% power conversion efficiency at 1 cm2 area and a pioneering photovoltaic-electrochemical system with a maximum solar-to-hydrogen efficiency of 17.8%. The system retains over 60% of its peak performance after operating for more than 180 h. We find that the performance loss is mainly due to the degradation of the photovoltaic component. We observe severe charge collection losses in the narrow-bandgap sub-cell that can be attributed to the interface degradation between the narrow-bandgap perovskite and the hole-transporting layer. Our study suggests that developing chemically stable absorbers and contact layers is critical for the applications of all-perovskite tandem photovoltaics.
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