2018
DOI: 10.1039/c7tc05278b
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All-atom simulation of molecular orientation in vapor-deposited organic light-emitting diodes

Abstract: Using all-atom simulation of vapor deposition, we theoretically investigate how the molecular orientation depends on various factors such as the substrate temperature, molecular shape, and material composition.

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Cited by 31 publications
(34 citation statements)
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“…One challenge underlying all theoretical efforts to simulate organic electronics applications and to computationally design new materials is the inherent multiscale nature of all models of organic electronics (see Figure 1). [46][47][48][49] The quantitative prediction of thin film properties like the charge carrier mobility ( Figure 1b) [39,[50][51][52][53] or device properties (Figure 1c) [54] requires knowledge about the electronic structure of each individual molecule in a disordered system comprising of thousands of molecules. [46][47][48][49] The quantitative prediction of thin film properties like the charge carrier mobility ( Figure 1b) [39,[50][51][52][53] or device properties (Figure 1c) [54] requires knowledge about the electronic structure of each individual molecule in a disordered system comprising of thousands of molecules.…”
Section: Introductionmentioning
confidence: 99%
“…One challenge underlying all theoretical efforts to simulate organic electronics applications and to computationally design new materials is the inherent multiscale nature of all models of organic electronics (see Figure 1). [46][47][48][49] The quantitative prediction of thin film properties like the charge carrier mobility ( Figure 1b) [39,[50][51][52][53] or device properties (Figure 1c) [54] requires knowledge about the electronic structure of each individual molecule in a disordered system comprising of thousands of molecules. [46][47][48][49] The quantitative prediction of thin film properties like the charge carrier mobility ( Figure 1b) [39,[50][51][52][53] or device properties (Figure 1c) [54] requires knowledge about the electronic structure of each individual molecule in a disordered system comprising of thousands of molecules.…”
Section: Introductionmentioning
confidence: 99%
“…The understanding of the driving forces regulating molecular orientation is mandatory to optimize material properties, such as charge transport, and to design processes and/or compounds to improve device efficiency. In this matter, the molecular dynamics (MD) at atomic resolution is a powerful computational method able to rationalize the microscopic origin of the molecular preferred orientation, [ 17–26 ] and several studies have been reported to successfully study interfacial properties and molecular arrangement of OLED materials. [ 7,18,20,27 ] For a general description of the challenges and the strategies currently used in the computational modeling of OLED materials, we refer the interested reader to a recent perspective [ 19 ] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…74 Note that emitting layers are typically (meta)stable, disordered or partially ordered glasses, and host and emitter molecules themselves (Figure 1 scheme pioneered by some of us for the vapor deposition of organic crystalline semiconductors, 76,77 have gained increasing popularity in the OLED research field. [78][79][80][81] The origin of this trend is two-fold: on the one hand, real TADF-based active layers are in fact prepared most often by co-deposition of (at least) one host semiconductor and a guest TADF emitter, 82 and on the other hand, since these films are amorphous, it is difficult to validate the simulation results versus experimental structural data, and it is tempting to believe that mimicking the experimental process could improve the quality of the predictions. Indeed, one of the open questions in the field is how important is the simulation procedure in determining the final morphology, and in turn how does it influence the calculated electronic properties.…”
mentioning
confidence: 99%