TY - CHAP
T1 - Device Physics in Organic Solar Cells and Drift-Diffusion Simulations
AU - Firdaus, Yuliar
AU - Anthopoulos, Thomas D.
N1 - KAUST Repository Item: Exported on 2021-04-13
Acknowledgements: The authors acknowledge financial support from King Abdullah University of Science and Technology (KAUST).
PY - 2020/12
Y1 - 2020/12
N2 - Organic solar cell (OSC) devices have recently exceeded power conversion efficiencies (PCEs) of 17% in single-junction cells (Lin et al., 2019, 2020; Cui et al., 2020; and Liu et al., 2020a, 2020b) and a tandem device using nonfullerene acceptors (NFAs) (Meng et al., 2018). The device performances are still below the predicted efficiency limit of 20% and 25% for single-junction and tandem cells, respectively (Firdaus et al., 2019). Improving OSC device performance further requires a detailed understanding of the underlying physical mechanisms and processes that make the device work, as well as those that lead to performance losses so that materials and device architectures can be further improved. Modeling can fulfill several tasks which range from theoretical discussions of physical mechanisms to the assistance in the interpretation of experiments. Unfolding the physics of these devices to create predictive physical models has been a challenging task due to the complexity of the employed materials and the device physics mechanisms.
AB - Organic solar cell (OSC) devices have recently exceeded power conversion efficiencies (PCEs) of 17% in single-junction cells (Lin et al., 2019, 2020; Cui et al., 2020; and Liu et al., 2020a, 2020b) and a tandem device using nonfullerene acceptors (NFAs) (Meng et al., 2018). The device performances are still below the predicted efficiency limit of 20% and 25% for single-junction and tandem cells, respectively (Firdaus et al., 2019). Improving OSC device performance further requires a detailed understanding of the underlying physical mechanisms and processes that make the device work, as well as those that lead to performance losses so that materials and device architectures can be further improved. Modeling can fulfill several tasks which range from theoretical discussions of physical mechanisms to the assistance in the interpretation of experiments. Unfolding the physics of these devices to create predictive physical models has been a challenging task due to the complexity of the employed materials and the device physics mechanisms.
UR - http://hdl.handle.net/10754/668664
UR - https://aip.scitation.org/doi/10.1063/9780735422414_008
U2 - 10.1063/9780735422414_008
DO - 10.1063/9780735422414_008
M3 - Chapter
SN - 9780735422414
SP - 1
EP - 36
BT - Soft-Matter Thin Film Solar Cells
PB - AIP Publishing
ER -