New Random Copolymer Acceptors Enable Additive-Free Processing of 10.1% Efficient All-Polymer Solar Cells with Near-Unity Internal Quantum Efficiency AITranslate
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Finding effective molecular design strategies to optimize the active layer blend morphology is among the long-standing challenges in developing efficient all-polymer solar cells (all-PSCs). Here we show that new biselenophene/selenophene-linked naphthalene diimide random copolymer acceptors BSSx (x = 10, 20, 50) facilitate the achievement of high-performance all-PSCs without the use of any solution processing additive. Blends of BSS10 with donor polymer PBDB-T combined 10.1% power conversion efficiency with 97% internal quantum efficiency and 0.59 eV optical band gap energy loss (Eloss). BSS10- and BSS20-based devices have the best combination of high external quantum efficiency (>85%) and small Eloss (<0.6 eV) among all-PSCs yet reported. The results demonstrate that the blend morphology, charge carrier mobilities, and photovoltaic properties of all-PSCs could be rationally optimized by means of a synthetic variable—the random copolymer composition.
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DOI:https://doi.org/10.1021/acsenergylett.9b00460
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Finding effective molecular design strategies to optimize the active layer blend morphology is among the long-standing challenges in developing efficient all-polymer solar cells (all-PSCs). Here we show that new biselenophene/selenophene-linked naphthalene diimide random copolymer acceptors BSSx (x = 10, 20, 50) facilitate the achievement of high-performance all-PSCs without the use of any solution processing additive. Blends of BSS10 with donor polymer PBDB-T combined 10.1% power conversion efficiency with 97% internal quantum efficiency and 0.59 eV optical band gap energy loss (Eloss). BSS10- and BSS20-based devices have the best combination of high external quantum efficiency (>85%) and small Eloss (<0.6 eV) among all-PSCs yet reported. The results demonstrate that the blend morphology, charge carrier mobilities, and photovoltaic properties of all-PSCs could be rationally optimized by means of a synthetic variable—the random copolymer composition.
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| GB/T 7714-2015 | [1] Nagesh B. Kolhe, Duyen K. Tran, Hyunjong Lee, et al. ACS Energy Letters, 2019(4). DOI:10.1021/acsenergylett.9b00460. |
| MLA | [1] Nagesh B. Kolhe, et al., ACS Energy Letters, no. 4, 2019, https://doi.org/10.1021/acsenergylett.9b00460. |
| APA | [1] Nagesh B. Kolhe, Duyen K. Tran, Hyunjong Lee, Daiki Kuzuhara, Noriyuki Yoshimoto, Tomoyuki Koganezawa, & Samson A. Jenekhe. (2019). ACS Energy Letters(4). https://doi.org/10.1021/acsenergylett.9b00460 |
| IEEE | [1] Nagesh B. Kolhe, Duyen K. Tran, Hyunjong Lee, Daiki Kuzuhara, Noriyuki Yoshimoto, Tomoyuki Koganezawa, and Samson A. Jenekhe, ACS Energy Letters, no. 4, 2019, doi: 10.1021/acsenergylett.9b00460. |
