2020
DOI: 10.1002/adfm.202001402
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Superior Noise Suppression, Response Time, and Device Stability of Non‐Fullerene System over Fullerene Counterpart in Organic Photodiode

Abstract: Herein, non-fullerene acceptor-based organic photodiodes are compared with fullerene acceptor-based organic photodiodes. The non-fullerene acceptor, ethylhexyl-rhodanine-benzothiadiazole-coupled indacenodithiophene (eh-IDTBR)-based organic photodiodes show a higher detectivity (1.61 × 10 13 cm Hz 1/2 W −1) and a faster response time (≈2.7 µs) than the fullerene acceptor, [6,6]-phenyl C 71 butyric acid methyl ester (PC 71 BM)-based organic photodiodes (3.25 × 10 12 cm Hz 1/2 W −1 and ≈6.24 µs, respectively) owi… Show more

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Cited by 50 publications
(49 citation statements)
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“…To further investigate the effect of incorporating PTPD in OFA layer on hole transport of narrowband PMOPDs, hole mobility (μ h ) was measured by using the space charge limited current (SCLC) method. [35,36] Holeonly devices were built with the structure of ITO/PEDOT:PSS/OFA layer (2.5 µm)/PM layer/ MoO 3 /Ag. The J-V curves of the holeonly devices are plotted as ln (Jd 3 /V 2 ) versus (V/d) 0.5 , as depicted in Figure 4c.…”
Section: Resultsmentioning
confidence: 99%
“…To further investigate the effect of incorporating PTPD in OFA layer on hole transport of narrowband PMOPDs, hole mobility (μ h ) was measured by using the space charge limited current (SCLC) method. [35,36] Holeonly devices were built with the structure of ITO/PEDOT:PSS/OFA layer (2.5 µm)/PM layer/ MoO 3 /Ag. The J-V curves of the holeonly devices are plotted as ln (Jd 3 /V 2 ) versus (V/d) 0.5 , as depicted in Figure 4c.…”
Section: Resultsmentioning
confidence: 99%
“…Recently, OPDs made from NFAs have shown significantly improved stability due to a stable morphology of photoactive later. [ 198 ] Besides, machine‐learning approaches, e.g., kernel ridge regression, [ 199 ] Random Forest regression, [ 200,201 ] decision tree, [ 202,203 ] and sequential minimal optimization regression, [ 204 ] have been demonstrated for predicting efficiency, stability, and significant attributes of devices. The machine‐learning methods can be applied to assist the time‐consuming experimentation and optimization in the development of stable OPDs.…”
Section: Discussionmentioning
confidence: 99%
“…Mater. 2021, 33, 2102967 [11,13,15,18,22,27,[38][39][40][41][42][43][44][45][46][47][48][49][50][51] The performance values of the photodetectors from the literature are listed in Table S3, Supporting Information. of less than 10 −7 mbar.…”
Section: Methodsmentioning
confidence: 99%
“…D * spectra of TC-OPDs at zero bias with varied spacer (BPhen) layer thicknesses based on different active blends a) DCV5T-Me:C 60 , b) BDP-OMe:C 60 , and c) QM1:C 60 , respectively. d) Comparison of D * as a function of wavelength from previously reported photodetectors [11,13,15,18,22,27,[38][39][40][41][42][43][44][45][46][47][48][49][50][51]. The performance values of the photodetectors from the literature are listed in TableS3, Supporting Information.…”
mentioning
confidence: 99%