Deciphering Evolution, Function, and Observation of Crystallization-Driven Self-Assembly

作者：Tianlai Xia, Laihui Xiao, Yujie Xie, Andrew P. Dove, Rachel K. O’Reilly · 发表于：Chemical Reviews · 年份：2025 · DOI：10.1021/acs.chemrev.5c00298 · 被引用次数：29 · 研究领域：Machine Learning in Materials Science、Advanced Polymer Synthesis and Characterization、Innovative Microfluidic and Catalytic Techniques Innovation

Crystallization-driven self-assembly (CDSA) offers precise control over the size, shape, and hierarchical organization of polymeric nanostructures by harnessing the crystallization of a core-forming block. Unlike conventional self-assembly, CDSA favors the formation of low-curvature morphologies, such as fibers and platelets, with exceptional uniformity. This review highlights key CDSA strategies, including seeded growth, self-seeding, and polymerization-induced CDSA, along with factors influencing assembly, such as polymer composition, solvent, temperature, and additives. We summarize advanced characterization techniques─spanning light scattering, microscopy, spectroscopy and fluorescence imaging─and computational approaches, including Monte Carlo and Brownian dynamics simulations, for understanding assembly mechanisms and predicting morphologies. Finally, we discuss emerging applications in biomedicine, catalysis, optoelectronics, and functional materials, and outline future challenges in precision control, multitechnique characterization, and scalable synthesis. By integrating mechanistic insights, advanced characterization, and application-driven design, this review establishes a comprehensive foundation for future development of CDSA-based functional materials.