Visualizing macroscopic inhomogeneities in perovskite solar cells

University of Oxford (2022)

Authors:

Akash Dasgupta, Suhas Mahesh, Pietro Caprioglio, Yen-Hung Lin, Karl-Augustin Zaininger, Robert DJ Oliver, Philippe Holzhey, Suer Zhou, Melissa McCarthy, Joel Smith, Maximilian Frenzel, M Greyson Christoforo, James Ball, Bernard Wenger, Henry J Snaith

Abstract:

This contains all data used in the paper: ACS Energy Lett. 2022, 7, 7, 2311–2322, DOI: https://doi.org/10.1021/acsenergylett.2c01094. Data has been sorted into raw and processed, and organised by which figure they appear in. Arrays require Python and the numpy package to load (np.load('filename.npy')). All other data is in text format of some form, easily openable. Some plots require Origin labs to open, but no data in these files are inaccessible from the txt files/ csvs etc.

Halide perovskite-based indoor photovoltaics: recent development and challenges

Materials Today Energy Elsevier BV 23 (2022) 100907

Authors:

Bening Tirta Muhammad, Shaoni Kar, Meera Stephen, Wei Lin Leong

A polymer/small-molecule binary-blend hole transport layer for enhancing charge balance in blue perovskite light emitting diodes

Journal of Materials Chemistry A Royal Society of Chemistry (RSC) 10:26 (2022) 13928-13935

Authors:

Zhongkai Yu, Woo Hyeon Jeong, Keehoon Kang, Hochan Song, Xinyu Shen, Hyungju Ahn, Seok Woo Lee, Xiangyang Fan, Ji Won Jang, Su Ryong Ha, Jeong Wan Min, Jong Hyun Park, Jongmin Han, Eui Dae Jung, Myoung Hoon Song, Dong Wook Chang, Won Bin Im, Sung Heum Park, Hyosung Choi, Bo Ram Lee

Abstract:

A polymer/small-molecule binary-blend hole transport layer provided balanced charge transport and efficient recombination of electrons and holes in the perovskite layer, and an optimal device based on the blended HTL shows the highest EQE of 5.30%.

Understanding and suppressing non-radiative losses in methylammonium-free wide-bandgap perovskite solar cells

Energy and Environmental Science Royal Society of Chemistry 15 (2021) 714-726

Authors:

Robert DJ Oliver, Pietro Caprioglio, Francisco Peña-Camargo, Leonardo Buizza, Fengshuo Zu, Alexandra J Ramadan, Silvia Motti, Suhas Mahesh, Melissa McCarthy, Jonathan H Warby, Yen-Hung Lin, Norbert Koch, Steve Albrecht, Laura M Herz, Michael B Johnston, Dieter Neher, Martin Stolterfoht, Henry Snaith

Abstract:

With power conversion efficiencies of perovskite-on-silicon and all-perovskite tandem solar cells increasing at rapid pace, wide bandgap (> 1.7 eV) metal-halide perovskites (MHPs) are becoming a major focus of academic and industrial photovoltaic research. Compared to their lower bandgap (< 1.6 eV) counterparts, these types of perovskites suffer from higher levels of non-radiative losses in both the bulk material and in device configurations, constraining their efficiencies far below their thermodynamic potential. In this work, we investigate the energy losses in methylammonium (MA) free high-Br-content widegap perovskites by using a combination of THz spectroscopy, steady-state and time-resolved photoluminescence, coupled with drift-diffusion simulations. The investigation of this system allows us to study charge-carrier recombination in these materials and devices in the absence of halide segregation due to the photostabilty of formamidinium-cesium based lead halide perovskites. We find that these perovskites are characterised by large non-radiative recombination losses in the bulk material and that the interfaces with transport layers in solar cell devices strongly limit their open-circuit voltage. In particular, we discover that the interface with the hole transport layer performs particularly poorly, in contrast to 1.6 eV bandgap MHPs which are generally limited by the interface with the electron-transport layer. To overcome these losses, we incorporate and investigate the recombination mechanisms present with perovskites treated with the ionic additive 1-butyl-1-methylpipiderinium tetrafluoroborate. We find that this additive not only improves the radiative efficiency of the bulk perovskite, but also reduces the non-radiative recombination at both the hole and electron transport layer interfaces of full photovoltaic devices. In addition to unravelling the beneficial effect of this specific treatment, we further optimise our solar cells by introducing an additional LiF interface treatment at the electron transport layer interface. Together these treatments enable MA-free 1.79 eV bandgap perovskite solar cells with open-circuit voltages of 1.22 V and power conversion efficiencies approaching 17 %, which is among the highest reported for this material system.

An open-access database and analysis tool for perovskite solar cells based on the FAIR data principles

Nature Energy Springer Nature 7:1 (2021) 107-115

Authors:

T Jesper Jacobsson, Adam Hultqvist, Alberto Garcia-Fernandez, Aman Anand, Amran Al-Ashouri, Anders Hagfeldt, Andrea Crovetto, Antonio Abate, Antonio Gaetano Ricciardulli, Anuja Vijayan, Ashish Kulkarni, Assaf Y Anderson, Barbara Primera Darwich, Bowen Yang, Brendan L Coles, Carlo AR Perini, Carolin Rehermann, Daniel Ramirez, David Fairen-Jimenez, Diego Di Girolamo, Donglin Jia, Elena Avila, Emilio J Juarez-Perez, Fanny Baumann, Florian Mathies, GS Anaya Gonzalez, Gerrit Boschloo, Giuseppe Nasti, Gopinath Paramasivam, Guillermo Martinez-Denegri, Hampus Nasstrom, Hannes Michaels, Hans Kobler, Hua Wu, Iacopo Benesperi, M Ibrahim Dar, Ilknur Bayrak Pehlivan, Isaac E Gould, Jacob N Vagott, Janardan Dagar, Jeff Kettle, Jie Yang, Jinzhao Li, Joel A Smith, Jorge Pascual, Jose J Jeronimo-Rendon, Juan Felipe Montoya, Juan-Pablo Correa-Baena, Junming Qiu, Junxin Wang

Abstract:

Large datasets are now ubiquitous as technology enables higher-throughput experiments, but rarely can a research field truly benefit from the research data generated due to inconsistent formatting, undocumented storage or improper dissemination. Here we extract all the meaningful device data from peer-reviewed papers on metal-halide perovskite solar cells published so far and make them available in a database. We collect data from over 42,400 photovoltaic devices with up to 100 parameters per device. We then develop open-source and accessible procedures to analyse the data, providing examples of insights that can be gleaned from the analysis of a large dataset. The database, graphics and analysis tools are made available to the community and will continue to evolve as an open-source initiative. This approach of extensively capturing the progress of an entire field, including sorting, interactive exploration and graphical representation of the data, will be applicable to many fields in materials science, engineering and biosciences.