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Akash Dasgupta

Long Term Visitor

Research theme

  • Photovoltaics and nanoscience

Sub department

  • Condensed Matter Physics
akash.dasgupta@physics.ox.ac.uk
Robert Hooke Building, room G30
Personal Website
  • About
  • Publications

Coherent growth of high-Miller-index facets enhances perovskite solar cells

Nature Springer Nature 635:8040 (2024) 874-881

Authors:

Shunde Li, Yun Xiao, Rui Su, Weidong Xu, Deying Luo, Pengru Huang, Linjie Dai, Peng Chen, Pietro Caprioglio, Karim A Elmestekawy, Milos Dubajic, Cullen Chosy, Juntao Hu, Irfan Habib, Akash Dasgupta, Dengyang Guo, Yorrick Boeije, Szymon J Zelewski, Zhangyuchang Lu, Tianyu Huang, Qiuyang Li, Jingmin Wang, Haoming Yan, Hao-Hsin Chen, Chunsheng Li, Barnaby AI Lewis, Dengke Wang, Jiang Wu, Lichen Zhao, Bing Han, Jianpu Wang, Laura M Herz, James R Durrant, Kostya S Novoselov, Zheng-Hong Lu, Qihuang Gong, Samuel D Stranks, Henry J Snaith, Rui Zhu
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Reactive Passivation of Wide-Bandgap Organic–Inorganic Perovskites with Benzylamine

Journal of the American Chemical Society American Chemical Society 146:40 (2024) 27405-27416

Authors:

Suer Zhou, Benjamin M Gallant, Junxiang Zhang, Yangwei Shi, Joel Smith, James N Drysdale, Pattarawadee Therdkatanyuphong, Margherita Taddei, Declan P McCarthy, Stephen Barlow, Rachel C Kilbride, Akash Dasgupta, Ashley R Marshall, Jian Wang, Dominik J Kubicki, David S Ginger, Seth R Marder, Henry J Snaith

Abstract:

While amines are widely used as additives in metal-halide perovskites, our understanding of the way amines in perovskite precursor solutions impact the resultant perovskite film is still limited. In this paper, we explore the multiple effects of benzylamine (BnAm), also referred to as phenylmethylamine, used to passivate both FA0.75Cs0.25Pb­(I0.8Br0.2)3 and FA0.8Cs0.2PbI3 perovskite compositions. We show that, unlike benzylammonium (BnA+) halide salts, BnAm reacts rapidly with the formamidinium (FA+) cation, forming new chemical products in solution and these products passivate the perovskite crystal domains when processed into a thin film. In addition, when BnAm is used as a bulk additive, the average perovskite solar cell maximum power point tracked efficiency (for 30 s) increased to 19.3% compared to the control devices 16.8% for a 1.68 eV perovskite. Under combined full spectrum simulated sunlight and 65 °C temperature, the devices maintained a better T 80 stability of close to 2500 h while the control devices have T 80 stabilities of <100 h. We obtained similar results when presynthesizing the product BnFAI and adding it directly into the perovskite precursor solution. These findings highlight the mechanistic differences between amine and ammonium salt passivation, enabling the rational design of molecular strategies to improve the material quality and device performance of metal-halide perovskites.
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Bandgap-universal passivation enables stable perovskite solar cells with low photovoltage loss

Science American Association for the Advancement of Science 384:6697 (2024) 767-775

Authors:

Yen-Hung Lin, Vikram, Fengning Yang, Xue-Li Cao, Akash Dasgupta, Robert DJ Oliver, Aleksander M Ulatowski, Melissa M McCarthy, Xinyi Shen, Qimu Yuan, M Greyson Christoforo, Fion Sze Yan Yeung, Michael B Johnston, Nakita K Noel, Laura M Herz, M Saiful Islam, Henry J Snaith

Abstract:

The efficiency and longevity of metal-halide perovskite solar cells are typically dictated by nonradiative defect-mediated charge recombination. In this work, we demonstrate a vapor-based amino-silane passivation that reduces photovoltage deficits to around 100 millivolts (>90% of the thermodynamic limit) in perovskite solar cells of bandgaps between 1.6 and 1.8 electron volts, which is crucial for tandem applications. A primary-, secondary-, or tertiary-amino–silane alone negatively or barely affected perovskite crystallinity and charge transport, but amino-silanes that incorporate primary and secondary amines yield up to a 60-fold increase in photoluminescence quantum yield and preserve long-range conduction. Amino-silane–treated devices retained 95% power conversion efficiency for more than 1500 hours under full-spectrum sunlight at 85°C and open-circuit conditions in ambient air with a relative humidity of 50 to 60%.

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Ion-induced field screening as a dominant factor in perovskite solar cell operational stability

Nature Energy Nature Research 9:6 (2024) 664-676

Authors:

Jarla Thiesbrummel, Sahil Shah, Emilio Gutierrez-Partida, Fengshuo Zu, Francisco Peña-Camargo, Stefan Zeiske, Jonas Diekmann, Fangyuan Ye, Karol P Peters, Kai O Brinkmann, Pietro Caprioglio, Akash Dasgupta, Seongrok Seo, Fatai A Adeleye, Jonathan Warby, Quentin Jeangros, Felix Lang, Shuo Zhang, Steve Albrecht, Thomas Riedl, Ardalan Armin, Dieter Neher, Norbert Koch, Yongzhen Wu, Henry Snaith

Abstract:

The presence of mobile ions in metal halide perovskites has been shown to adversely affect the intrinsic stability of perovskite solar cells (PSCs). However, the actual contribution of mobile ions to the total degradation loss compared with other factors such as trap-assisted recombination remains poorly understood. Here we reveal that mobile ion-induced internal field screening is the dominant factor in the degradation of PSCs under operational conditions. The increased field screening leads to a decrease in the steady-state efficiency, often owing to a large reduction in the current density. Instead, the efficiency at high scan speeds (>1,000 V s−1), where the ions are immobilized, is much less affected. We also show that the bulk and interface quality do not degrade upon ageing, yet the open-circuit voltage decreases owing to an increase in the mobile ion density. This work reveals the importance of ionic losses for intrinsic PSC degradation before chemical or extrinsic mechanical effects manifest.
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DATASET FOR: Disentangling the origin of degradation in perovskite solar cells via optical imaging and Bayesian inference.

University of Oxford (2024)

Authors:

Akash Dasgupta, Robert Oliver, Yen Lin, Manuel Kober-Czerny, Alexandra Ramadan, Henry Snaith

Abstract:

Here we deposit the data and code necessary to generate the analysis found in our work. We have included: Simulation output from drift diffusion simulations; Photoluminescence imaging data (in a semi-raw and processed format); Outputs from our Bayesian analysis combining the two; and a clone of the code (from our public git repo) used to generate the analysis.
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