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作 者:Qiu-Hui Chang Ruo-Chao Wang Le-Ying Qing Jian Jiang
机构地区:[1]Beijing National Laboratory for Molecular Sciences,State Key Laboratory of Polymer Physics and Chemistry,Institute of Chemistry,Chinese Academy of Sciences,Beijing,100190,China [2]University of Chinese Academy of Sciences,Beijing,100049,China
出 处:《Chinese Journal of Polymer Science》2025年第1期1-17,I0005,共18页高分子科学(英文版)
基 金:supported by the National Natural Science Foundation of China(Nos.22273112 and 22203100).
摘 要:Polyelectrolytes(PEs)are polymers carrying ionizable groups along the chain backbone and play an important role in life and environmental sciences,industrial applications and other fields.Due to the complicated topological structure and electrostatic correlations of PEs,PEs exhibit very rich phase behavior and morphologies in both bulk and confined solutions.So far,many theories,simulations and machine learning approaches have been proposed to study the behavior of polyelectrolyte solutions,especially the intrinsic structure-property relationships.In this perspective,from a personal point of view,we present several recent trends in polyelectrolyte solutions.The main themes considered here are accelerated development of sequence-defined polyelectrolyte(SDPE)via artificial intelligence technology,liquid-liquid phase separation in bulk SDPE solutions,adsorption behaviors of SDPE in the vicinity of a single dielectric surface,and surface forces between two charged surfaces mediated by SDPE solutions.
关 键 词:Sequence-defined polyelectrolyte Structure-property relationships Liquid-liquid phase separation Surface and interface
分 类 号:TQ317[化学工程—高聚物工业] O646[理学—物理化学]
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