基于神经网络电位的聚合物电解质膜分子动力学模拟以了解不同水合水平下的结构和质子电导率

IF 5.2 1区 化学 Q1 POLYMER SCIENCE
Attila Taborosi, Kentaro Aoki, Nobuyuki Zettsu, Michihisa Koyama, Yuki Nagao
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引用次数: 0

摘要

烷基磺化聚酰亚胺(ASPIs)作为燃料电池的替代聚合物电解质,在吸水时表现出溶性液晶行为,形成有组织的层状结构,并实现高质子导电性。先前的实验研究表明,与具有弯曲骨架的质子电导率(0.03 S/cm)相比,具有平面骨架的质子电导率(0.2 S/cm)更高。为了在原子水平上解释这种差异,使用通用神经网络电位进行了分子动力学模拟。与弯曲aspi相比,平面aspi中单体单位长度的出现表明了更高的分子秩序,与更高的质子导电性相关。尽管在平面和弯曲aspi中,磺酸基团的去质子化和溶剂化相似,但质子电导率与这些因素无关。定向均方位移分析进一步揭示了平面型和弯曲型质子电导率的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Molecular Dynamics Simulation of Polymer Electrolyte Membrane for Understanding Structure and Proton Conductivity at Various Hydration Levels Using Neural Network Potential

Molecular Dynamics Simulation of Polymer Electrolyte Membrane for Understanding Structure and Proton Conductivity at Various Hydration Levels Using Neural Network Potential
Alkyl sulfonated polyimides (ASPIs), as alternative polymer electrolytes for fuel cells, are known to exhibit lyotropic liquid crystalline behavior upon water uptake, forming organized lamellar structures and achieving high proton conductivity. Previous experimental studies have shown that ASPIs with planar backbones exhibit enhanced proton conductivity (0.2 S/cm) compared to those with bent backbones (0.03 S/cm). To explain this difference at the atomistic level, molecular dynamics simulations were conducted using a universal neural network potential. The appearance of monomer unit length in planar ASPIs, indicating higher molecular order, was found to correlate with higher proton conductivity compared to that of bent ASPIs. Despite the similar deprotonation and solvation of sulfonic acid groups in both planar and bent ASPIs, the proton conductivity was independent of these factors. Directional mean square displacement analysis provided further insights into the differences in proton conductivity between planar and bent types.
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来源期刊
Macromolecules
Macromolecules 工程技术-高分子科学
CiteScore
9.30
自引率
16.40%
发文量
942
审稿时长
2 months
期刊介绍: Macromolecules publishes original, fundamental, and impactful research on all aspects of polymer science. Topics of interest include synthesis (e.g., controlled polymerizations, polymerization catalysis, post polymerization modification, new monomer structures and polymer architectures, and polymerization mechanisms/kinetics analysis); phase behavior, thermodynamics, dynamic, and ordering/disordering phenomena (e.g., self-assembly, gelation, crystallization, solution/melt/solid-state characteristics); structure and properties (e.g., mechanical and rheological properties, surface/interfacial characteristics, electronic and transport properties); new state of the art characterization (e.g., spectroscopy, scattering, microscopy, rheology), simulation (e.g., Monte Carlo, molecular dynamics, multi-scale/coarse-grained modeling), and theoretical methods. Renewable/sustainable polymers, polymer networks, responsive polymers, electro-, magneto- and opto-active macromolecules, inorganic polymers, charge-transporting polymers (ion-containing, semiconducting, and conducting), nanostructured polymers, and polymer composites are also of interest. Typical papers published in Macromolecules showcase important and innovative concepts, experimental methods/observations, and theoretical/computational approaches that demonstrate a fundamental advance in the understanding of polymers.
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