Correlation of Emulsion Chemistry, Film Morphology, and Device Performance in Polyfluorene LEDs Deposited by RIR-MAPLE
Source abstract
Abstract
Thin films of polyfluorene (PFO) were deposited using emulsion-based resonant infrared, matrix-assisted pulsed laser evaporation (RIR-MAPLE). Here, it is shown that properly selected surfactant chemistry in the emulsion can increase crystalline β phase (β-PFO) content and consequently improve the color purity of light emission. To determine the impact of surfactant on the device performance of resulting films, blue light-emitting diodes (LEDs) with PFO as an active region were fabricated and compared. Molecular dynamics (MD) simulations were used to explain the physical and chemical changes in the emulsion properties as a function of the surfactant. The results indicate that the experimental film morphology and device performance are highly correlated to the emulsion droplet micelle structure and interaction energy among PFO, primary solvent, and water obtained from MD simulations. While the champion device performance was lower than other reported devices (luminous flux ∼0.0206 lm, brightness ∼725.58 cd/m 2, luminous efficacy ∼0.0548 lm/W, and luminous efficiency ∼0.174 cd/A), deep blue emission with good color purity (CIE chromaticity diagram coordinate of (0.177,0.141)) was achieved for low operating voltages around 3 V. Furthermore, a much higher β-phase content of 21% was achieved in annealed films (without the pinholes typically found in β-PFO deposited by other techniques) by using sodium dodecyl sulfate (SDS) as the surfactant.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Organic Light-Emitting Diodes Research · Organic Electronics and Photovoltaics · Thin-Film Transistor Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical and Computer Engineering, Duke University, Durham, North Carolina 27708, United States
Department of Materials Science and Engineering, North Carolina State University, Raleigh, North Carolina 27606, United States
University Program in Materials Science and Engineering, Duke University, Durham, North Carolina 27708, United States
Funding
Division of Civil, Mechanical and Manufacturing Innovation
References (70)
Show source-provided references
1. 10.1016/j.matpr.2019.06.06810.1016/j.matpr.2019.06.068 ↗
2. 10.1002/adma.20070251510.1002/adma.200702515 ↗
3. 10.1016/j.dyepig.2015.02.01610.1016/j.dyepig.2015.02.016 ↗
4. 10.1063/1.482476610.1063/1.4824766 ↗
5. 10.1002/1521-4095(20020404)14:7<477::AID-ADMA477>3.0.CO;2-910.1002/1521-4095(20020404)14:7<477::AID-ADMA477>3.0.CO;2-9 ↗
6. 10.1103/PhysRevB.74.11320310.1103/PhysRevB.74.113203 ↗
7. 10.1002/adma.20060263210.1002/adma.200602632 ↗
8. 10.1038/1639310.1038/16393 ↗
9. 10.1088/0022-3727/41/13/13300110.1088/0022-3727/41/13/133001 ↗
10. 10.1007/s11664-019-07115-810.1007/s11664-019-07115-8 ↗
11. 10.3390/polym401034110.3390/polym4010341 ↗
12. 10.1109/JSTQE.2008.91562510.1109/JSTQE.2008.915625 ↗
13. 10.1063/1.500050910.1063/1.5000509 ↗
14. Caricato A. P. · 2018
15. 10.1063/1.488105810.1063/1.4881058 ↗
16. 10.1021/acsami.6b0559610.1021/acsami.6b05596 ↗
17. 10.1117/12.207985810.1117/12.2079858 ↗
18. 10.1021/jp201066610.1021/jp2010666 ↗
19. 10.1016/j.polymer.2019.12198610.1016/j.polymer.2019.121986 ↗
20. 10.1021/jp209207p10.1021/jp209207p ↗
21. 10.1016/j.fluid.2015.11.01510.1016/j.fluid.2015.11.015 ↗
22. 10.1016/j.fluid.2007.09.01310.1016/j.fluid.2007.09.013 ↗
23. 10.1021/jp208459g10.1021/jp208459g ↗
24. 10.1021/la803940b10.1021/la803940b ↗
25. 10.1038/348624a010.1038/348624a0 ↗
26. 10.1021/la00025a00310.1021/la00025a003 ↗
27. 10.1039/D0CP03904G10.1039/D0CP03904G ↗
28. 10.1007/s11664-020-08050-910.1007/s11664-020-08050-9 ↗
29. 10.2478/s11534-011-0096-210.2478/s11534-011-0096-2 ↗
30. 10.1006/jcis.1996.468010.1006/jcis.1996.4680 ↗
31. 10.1021/jp044079w10.1021/jp044079w ↗
32. AMBER 2018; University of California: San Francisco, CA, 2018.
33. 10.1021/acs.jctc.8b0103910.1021/acs.jctc.8b01039 ↗
34. 10.1002/jcc.2003510.1002/jcc.20035 ↗
35. 10.1063/1.44586910.1063/1.445869 ↗
36. 10.1021/jp800161410.1021/jp8001614 ↗
37. Discovery Studio Visualizer; Dassault Systèmes: San Diego, CA, 2019.
38. 10.1007/s10118-019-2259-310.1007/s10118-019-2259-3 ↗
39. 10.1002/(SICI)1521-4044(199808)49:8<439::AID-APOL439>3.0.CO;2-A10.1002/(SICI)1521-4044(199808)49:8<439::AID-APOL439>3.0.CO;2-A ↗
40. 10.3390/polym1316272510.3390/polym13162725 ↗
41. 10.1016/j.polymer.2021.12447110.1016/j.polymer.2021.124471 ↗
42. 10.1021/ct200142z10.1021/ct200142z ↗
43. 10.1002/jcc.2009810.1002/jcc.20098 ↗
44. 10.1021/acs.langmuir.0c0173610.1021/acs.langmuir.0c01736 ↗
45. 10.1039/D2SM01001A10.1039/D2SM01001A ↗
46. 10.1093/nar/gkr28810.1093/nar/gkr288 ↗
47. Gaussian 16, Rev. B.01; Gaussian Inc.: Wallingford, CT, 2016.
48. 10.1021/j100142a00410.1021/j100142a004 ↗
49. 10.7717/peerj-cs.10310.7717/peerj-cs.103 ↗
50. 10.1002/jcc.2122410.1002/jcc.21224 ↗
51. 10.1021/la950581j10.1021/la950581j ↗
52. 10.1002/chem.20200150510.1002/chem.202001505 ↗
53. 10.1002/anie.20211554710.1002/anie.202115547 ↗
54. 10.1063/1.46439710.1063/1.464397 ↗
55. Amber 2021; University of California: San Francisco, CA, 2021.
56. 10.1021/j150488a00310.1021/j150488a003 ↗
57. 10.1021/acs.langmuir.7b0288510.1021/acs.langmuir.7b02885 ↗
58. 10.1039/b922707e10.1039/b922707e ↗
59. 10.1039/C8CP04593C10.1039/C8CP04593C ↗
60. 10.1016/j.polymer.2018.02.05310.1016/j.polymer.2018.02.053 ↗
61. 10.1016/j.colsurfa.2016.03.06310.1016/j.colsurfa.2016.03.063 ↗
62. 10.1016/S0257-8972(02)00606-010.1016/S0257-8972(02)00606-0 ↗
63. 10.1021/la010831y10.1021/la010831y ↗
64. Choudhury A. K. R. · 2014
65. 10.1021/ma021614m10.1021/ma021614m ↗
66. 10.1002/pssa.20040434510.1002/pssa.200404345 ↗
67. 10.1016/j.sse.2011.02.00410.1016/j.sse.2011.02.004 ↗
68. 10.1063/1.12187810.1063/1.121878 ↗
69. 10.1002/adfm.20070019510.1002/adfm.200700195 ↗
70. 10.1016/j.tsf.2022.13911810.1016/j.tsf.2022.139118 ↗