P☀PULAR – Printed & Stable Organic
Photovoltaics from Non-fullerene Acceptors

Publications

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Publication of 2024

Article

M. Hußner, Richard A. Pacalaj, O. G. Müller-Dieckert, C. Liu, Z. Zhou, N. Majeed, S. Greedy, I. Ramirez, N. Li, S. M. Hosseini, C. Uhrich, C. J. Brabec, J. R. Durrant, C. Deibel, and R. C. I. MacKenzie.
Machine learning for ultra high throughput screening of organic solar cells: Solving the needle in the hay stack problem.
Adv. Energy Mater 14, 2303000 (2024).  [doi]  [arXiv]

Publication of 2023

Article

D. Vu, W. Liang Tan, L. He, A. Ehm, D. R. T. Zahn, and Ch. R. McNeill.
Third Crystalline Form of P(NDI2OD-T2) with Pronounced End-on Texture.
ACS Macro Lett. 2023, 12, 140−146 (2023).  [doi]
M. Saladina, C. Wöpke, C. Göhler, I. Ramirez, O. Gerdes, C. Liu, N. Li, T. Heumüller, C. J. Brabec, K. Walzer, M. Pfeiffer, and C. Deibel.
Power-law density of states in organic solar cells revealed by the open-circuit voltage dependence of the ideality factor. (Editor’s Suggestion).
Phys. Rev. Lett. 130, 236403 (2023).  [doi]  [arXiv]
K. Bergermann, C. Deibel, R. Herzog, R. C. I. MacKenzie, J.-F. Pietschmann, and M. Stoll.
Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors.
Communications in Computational Physics 34, 1 (2023).  [doi]  [arXiv]

Publication of 2022

Article

C. Wöpke, C. Göhler, M. Saladina, X. Du, L. Nian, C. Greve, C. Zhu, K. M. Yallum, Y. J. Hofstetter, D. Becker-Koch, N. Li, T. Heumüller, I. Milekhin, D. R. T. Zahn, C. J. Brabec, N. Banerji, Y. Vaynzof, E. M. Herzig, R. C. I. MacKenzie, and C. Deibel.
Traps and transport resistance are the next frontiers for stable non-fullerene acceptor solar cells.
Nature Communications 13, 3786 (2022).  [doi]  [arXiv]
P. Weitz, V. Le Corre, X. Du, K. Forberich, C. Deibel, C. J. Brabec and T. Heumüller.
Revealing Photodegradation Pathways of Organic Solar Cells by Spectrally Resolved Accelerated Lifetime Analysis.
Adv. Energy Mater. 13, 2202564 (2022).  [doi]
 2024 

Publication of 2024

Article

M. Hußner, Richard A. Pacalaj, O. G. Müller-Dieckert, C. Liu, Z. Zhou, N. Majeed, S. Greedy, I. Ramirez, N. Li, S. M. Hosseini, C. Uhrich, C. J. Brabec, J. R. Durrant, C. Deibel, and R. C. I. MacKenzie.
Machine learning for ultra high throughput screening of organic solar cells: Solving the needle in the hay stack problem.
Adv. Energy Mater 14, 2303000 (2024).  [doi]  [arXiv]
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