Disorder-Induced Localization With on-Device Tunability in Asymmetric Molecular Semiconductors.

IF 10.7 2区 材料科学 Q1 CHEMISTRY, PHYSICAL
Kuakua Lu, Qijing Wang, Zhonglin Zhang, Xinglong Ren, Ian E Jacobs, Jingsi Qiao, Yi Shi, Yun Li, Henning Sirringhaus
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引用次数: 0

Abstract

High-mobility organic semiconductors (OSCs) can potentially exhibit metallic carrier behaviors, and electron correlation-driven metal-insulator transition (MIT) has also been realized by tuning the carrier density. However, continuous Anderson transition has rarely been reported in OSCs, due to the difficulty of controllable disorder introduction and localization length tunability. Here we report a strategy of on-device disorder introduction in asymmetric molecular semiconductors that allows the realization of tunable carrier localization and Anderson MIT without a structural phase transition. The disorder can be introduced finely by co-regulating temperature and electric fields to obtain various disorder levels. The effectiveness of this strategy is further confirmed by the calculation of localization length and mean free path, both decreasing with the increased disorder level. This work provides an ideal testbed to investigate the nontrivial interplay of carrier transport property and disorder in disordered organic systems.

非对称分子半导体中具有器件内可调性的无序诱导定位。
高迁移率有机半导体(OSCs)可以潜在地表现出金属载流子行为,电子相关驱动的金属-绝缘体跃迁(MIT)也可以通过调节载流子密度来实现。然而,由于可控无序引入和定位长度可调性的困难,连续Anderson跃迁在osc中很少被报道。在这里,我们报告了一种在不对称分子半导体中引入器件上无序的策略,该策略允许在没有结构相变的情况下实现可调谐载流子定位和Anderson MIT。通过共同调节温度和电场,可以很好地引入无序,从而获得不同的无序程度。通过局部化长度和平均自由程的计算进一步证实了该策略的有效性,两者都随着无序程度的增加而减小。这项工作为研究无序有机系统中载流子输运性质和无序之间的重要相互作用提供了一个理想的实验平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Small Methods
Small Methods Materials Science-General Materials Science
CiteScore
17.40
自引率
1.60%
发文量
347
期刊介绍: Small Methods is a multidisciplinary journal that publishes groundbreaking research on methods relevant to nano- and microscale research. It welcomes contributions from the fields of materials science, biomedical science, chemistry, and physics, showcasing the latest advancements in experimental techniques. With a notable 2022 Impact Factor of 12.4 (Journal Citation Reports, Clarivate Analytics, 2023), Small Methods is recognized for its significant impact on the scientific community. The online ISSN for Small Methods is 2366-9608.
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