Role of Molecular Weight Distribution on Charge Transport in Semiconducting Polymers

Himmelberger, Scott; Vandewal, Koen; Fei, Zhuping; Heeney, Martin; Salleo, Alberto

doi:10.1021/ma501508j

Cited by 103 publications

(128 citation statements)

References 33 publications

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“…First, we discuss the carrier transport between ordered domains. It has been reported that intra-chain charge transport along the chain backbone is faster than inter-chain hopping via coupling of p orbitals [48].…”

Section: Samplementioning

confidence: 99%

Structure difference of sorbitol derivatives influences the crystallization and performance of P3OT/PCBM organic photovoltaic solar cells

Wang

Zhang

Liu

et al. 2017

Organic Electronics

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Section: Samplementioning

confidence: 99%

Structure difference of sorbitol derivatives influences the crystallization and performance of P3OT/PCBM organic photovoltaic solar cells

Wang

Zhang

Liu

et al. 2017

Organic Electronics

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“…19,20 Microfluidic technology has been widely applied to the controlled nucleation and crystallization of small molecule B conjugated materials, proteins and drug molecules (e.g., aspirin and acetaminophen). 21À23 Very few studies have reported oriented crystallization of conjugated polymers directly in solution.…”

mentioning

confidence: 99%

Microfluidic Crystal Engineering of π-Conjugated Polymers

Wang

Persson²,

Chu³

et al. 2015

ACS Nano

105

114

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Very few studies have reported oriented crystallization of conjugated polymers directly in solution. Here, solution crystallization of conjugated polymers in a microfluidic system is found to produce tightly π-stacked fibers with commensurate improved charge transport characteristics. For poly(3-hexylthiophene) (P3HT) films, processing under flow caused exciton bandwidth to decrease from 140 to 25 meV, π-π stacking distance to decrease from 3.93 to 3.72 Å and hole mobility to increase from an average of 0.013 to 0.16 cm(2) V(-1) s(-1), vs films spin-coated from pristine, untreated solutions. Variation of the flow rate affected thin-film structure and properties, with an intermediate flow rate of 0.25 m s(-1) yielding the optimal π-π stacking distance and mobility. The flow process included sequential cooling followed by low-dose ultraviolet irradiation that promoted growth of conjugated polymer fibers. Image analysis coupled with mechanistic interpretation supports the supposition that "tie chains" provide for charge transport pathways between nanoaggregated structures. The "microfluidic flow enhanced semiconducting polymer crystal engineering" was also successfully applied to a representative electron transport polymer and a nonhalogenated solvent. The process can be applied as a general strategy and is expected to facilitate the fabrication of high-performance electrically active polymer devices.

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“…However, there is experimental difficulty in synthesizing polymers with tailored PDIs for systematic studies [34]. Instead, techniques to either fractionate the P3HT samples or blend multiple polymers samples to target a specified PDI have been employed [40,41].…”

Section: Polydispersity Indexmentioning

confidence: 99%

Solving Materials’ Small Data Problem with Dynamic Experimental Databases

et al. 2018

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Materials processing is challenging because the final structure and properties often depend on the process conditions as well as the composition. Past research reported in the archival literature provides a valuable source of information for designing a process to optimize material properties. Typically, the issue is not having too much data (i.e., big data), but rather having a limited amount of data that is sparse, relative to a large number of design variables. The full utilization of this information via a structured database can be challenging, because of inconsistent and incorrect reporting of information. Here, we present a classification approach specifically tailored to the task of identifying a promising design region from a literature database. This design region includes all high performing points, as well as some points having poor performance, for the purpose of focusing future experiments. The classification method is demonstrated on two case studies in polymeric materials, namely: poly(3-hexylthiophene) for flexible electronic devices and polypropylene-talc composite materials for structural applications.

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Role of Molecular Weight Distribution on Charge Transport in Semiconducting Polymers

Cited by 103 publications

References 33 publications

Structure difference of sorbitol derivatives influences the crystallization and performance of P3OT/PCBM organic photovoltaic solar cells

Structure difference of sorbitol derivatives influences the crystallization and performance of P3OT/PCBM organic photovoltaic solar cells

Microfluidic Crystal Engineering of π-Conjugated Polymers

Solving Materials’ Small Data Problem with Dynamic Experimental Databases

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