D-π-D hole transport materials based on dioctylfluorene for highly efficient and stable perovskite solar cells without pre-oxidation

Liu, Xin; Wang, Kexiang; Liu, Ruoyun; Yan, Lei; Dong, Peng; Zhao, Haixia; Wang, Zhongqiang; Wu, Yuling; Yin, Penggang; Guo, Kunpeng

doi:10.1016/j.dyepig.2022.110452

Cited by 9 publications

(4 citation statements)

References 46 publications

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“…The anomaly of the UV-vis absorption spectra of the three systems compared with that of the prototypical CH 3 NH 3 PbI 3 is ascribed to the extra optical absorption by the Fe 3 O 4 layer; the high optical absorptivity of the HTL material in the UV-vis region is not rare for PSCs; for example, a number of dye molecules and polymeric pigments that influence the light-harvesting performance have been employed as effective HLT materials (Figure S12, Supporting Information). [63][64][65] There are limitations of the NLP model, and some of the perovskite materials pointed out by the model are controversial. For example, on the one hand, BaY 2 O 4 and LiMn 2 O 4 are not strictly perovskites, but they appear in the list.…”

Section: Resultsmentioning

confidence: 99%

“…The anomaly of the UV–vis absorption spectra of the three systems compared with that of the prototypical CH 3 NH 3 PbI 3 is ascribed to the extra optical absorption by the Fe 3 O 4 layer; the high optical absorptivity of the HTL material in the UV–vis region is not rare for PSCs; for example, a number of dye molecules and polymeric pigments that influence the light‐harvesting performance have been employed as effective HLT materials (Figure S12, Supporting Information). [ 63–65 ]…”

Section: Resultsmentioning

confidence: 99%

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Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

Zhang,

Huang,

Yan

et al. 2024

Advanced Intelligent Systems

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Making computers automatically extract latent scientific knowledge from literature is highly desired for future materials and chemical research in the artificial intelligence era. Herein, the natural language processing (NLP)‐based machine learning technique to build language models and automatically extract hidden information regarding perovskite solar cell (PSC) materials from 29 060 publications is employed. The concept that there are light‐absorbing materials, electron‐transporting materials, and hole‐transporting materials in PSCs is successfully learned by the NLP‐based machine learning model without a time‐consuming human expert training process. The NLP model highlights a hole‐transporting material that receives insufficient attention in the literature, which is then elaborated via density functional theory calculations to provide an atomistic view of the perovskite/hole‐transporting layer heterostructures and their optoelectronic properties. Finally, the above results are confirmed by device experiments. The present study demonstrates the viability of NLP as a universal machine learning tool to extract useful information from existing publications.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

Zhang,

Huang,

Yan

et al. 2024

Advanced Intelligent Systems

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“…In this study, the fused pyrazolo[1,5-a]pyrimidine system containing five-and sixmembered rings (pyrazole and pyrimidine) was selected as an electron acceptor core due to its rigid and planar molecular structure [39], electron-accepting ability [41,51], excellent photostability [52], efficient synthetic approaches [39] and easy functionalization [39,46,53]. The 3,6-bis(4,4 -dimethoxydiphenylamino)carbazole (3,6-CzDMPA) unit was used as an electron donor due to its hole-transporting properties, molecular glass behavior, thermal stability, good solubility and facile synthetic route [30,31]. In addition, the terminal methoxy (-OCH 3 ) groups can serve as Lewis base sites to passivate defects at the perovskite/HTM interface [11].…”

Section: Design and Synthesismentioning

confidence: 99%

“…In these molecular structures, the acceptor unit has been functionalized with the donor group via a phenyl π-spacer at different positions to investigate their structure-property relationships. The chosen donor moiety is 3,6-bis(4,4 -dimethoxydiphenylamino)carbazole (3, [30]. 3,6-CzDMPA-based HTMs have attracted much attention due to their interesting physicochemical properties, such as molecular glass behavior, excellent thermal stability and good solubility, and good charge transport properties [31,32].…”

Section: Introductionmentioning

confidence: 99%

D-π-A-Type Pyrazolo[1,5-a]pyrimidine-Based Hole-Transporting Materials for Perovskite Solar Cells: Effect of the Functionalization Position

et al. 2022

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Donor–acceptor (D–A) small molecules are regarded as promising hole-transporting materials for perovskite solar cells (PSCs) due to their tunable optoelectronic properties. This paper reports the design, synthesis and characterization of three novel isomeric D-π-A small molecules PY1, PY2 and PY3. The chemical structures of the molecules consist of a pyrazolo[1,5-a]pyrimidine acceptor core functionalized with one 3,6-bis(4,4′-dimethoxydiphenylamino)carbazole (3,6-CzDMPA) donor moiety via a phenyl π-spacer at the 3, 5 and 7 positions, respectively. The isolated compounds possess suitable energy levels, sufficient thermal stability (Td > 400 °C), molecular glass behavior with Tg values in the range of 127–136 °C slightly higher than that of the reference material Spiro-OMeTAD (126 °C) and acceptable hydrophobicity. Undoped PY1 demonstrates the highest hole mobility (3 × 10−6 cm2 V−1 s−1) compared to PY2 and PY3 (1.3 × 10−6 cm2 V−1 s−1). The whole isomers were incorporated as doped HTMs in planar n-i-p PSCs based on double cation perovskite FA0.85Cs0.15Pb(I0.85Br0.15)3. The non-optimized device fabricated using PY1 exhibited a power conversion efficiency (PCE) of 12.41%, similar to that obtained using the reference, Spiro-OMeTAD, which demonstrated a maximum PCE of 12.58% under the same conditions. The PY2 and PY3 materials demonstrated slightly lower performance in device configuration, with relatively moderate PCEs of 10.21% and 10.82%, respectively, and slight hysteresis behavior (−0.01 and 0.02). The preliminary stability testing of PSCs is also described. The PY1-based device exhibited better stability than the device using Spiro-OMeTAD, which could be related to its slightly superior hydrophobic character preventing water diffusion into the perovskite layer.

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Flexible anodic bonding for the bonding between elastomer and metal

Zhao¹,

Liu

et al. 2022

J of Applied Polymer Sci

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Considering the inadaptability of traditional anodic bonding to polymer materials, the flexible anodic bonding process is developed. The bonding characteristics of the dynamic intelligent electric fields with the low-temperature plasma surface treatment to polymer and ultrasonic-assisted preconnection before bonding are very suitable for the anodic bonding of polymer elastomer to aluminum (Al) sheet. A series of composite polyurethane elastomer cathode materials (CPECs) with good bonding properties are prepared and characterized. The highest ionic conductivity of CPECs can reach to 2.7 Â 10 À3 S/cm (CPEC2) at 75 C. After bonded, it is determined that a uniform and dense intermediate bonding layer showed by SEM is formed between CPECs and Al. In addition, different elements including C, O, F, S, and Al are clearly iden-

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D-π-D hole transport materials based on dioctylfluorene for highly efficient and stable perovskite solar cells without pre-oxidation

Cited by 9 publications

References 46 publications

Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

Fast Exploring Literature by Language Machine Learning for Perovskite Solar Cell Materials Design

D-π-A-Type Pyrazolo[1,5-a]pyrimidine-Based Hole-Transporting Materials for Perovskite Solar Cells: Effect of the Functionalization Position

Flexible anodic bonding for the bonding between elastomer and metal

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