4.8 Article

Conformational Heterogeneity and Interchain Percolation Revealed in an Amorphous Conjugated Polymer

期刊

ACS NANO
卷 -, 期 -, 页码 -

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsnano.2c04794

关键词

molecular dynamics simulations; density functional theory; conjugated polymers; machine learning; graph theory; percolation; molecular conformation

资金

  1. Engineering and Physical Sciences Research Council (EPSRC) [EP/V049771/1]
  2. EPSRC [EP/P020194/1, EP/T022213/1]

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In this study, the nanoscale structure of the polymer F8BT and its impact on its optical properties were investigated using molecular dynamics simulations. The researchers found a giant percolating cluster in amorphous F8BT, which has implications for the quantum yield and color shift observed in conjugated polymer-based devices and nanostructures. Additionally, the study showed that distinct conformations can be unraveled from the disordered structure of amorphous F8BT using a machine learning protocol.
Conjugated polymers are employed in a variety of application areas due to their bright fluorescence and strong biocompatibility. However, understanding the structure of amorphous conjugated polymers on the nanoscale is extremely challenging compared to their related crystalline phases. Using a bespoke classical force field, we study amorphous poly(9,9-din-octylfluorene-alt-benzothiadiazole) (F8BT) with molecular dynamics simulations to investigate the role that its nanoscale structure plays in controlling its emergent (and all-important) optical properties. Notably, we show that a giant percolating cluster exists within amorphous F8BT, which has ramifications in understanding the nature of interchain species that drive the quantum yield reduction and bathochromic shift observed in conjugated polymer-based devices and nanostructures. We also show that distinct conformations can be unravelled from within the disordered structure of amorphous F8BT using a two-stage machine learning protocol, highlighting a link between molecular conformation and ring stacking propensity. This work provides predictive understanding by which to enhance the optical properties of next-generation conjugated polymer-based devices and materials by rational, simulation-led design principles.

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