Issue 19, 2023

The entropy-controlled strategy in self-assembling systems

Abstract

Self-assembly of various building blocks has been considered as a powerful approach to generate novel materials with tailorable structures and optimal properties. Understanding physicochemical interactions and mechanisms related to structural formation and transitions is of essential importance for this approach. Although it is well-known that diverse forces and energies can significantly contribute to the structures and properties of self-assembling systems, the potential entropic contribution remains less well understood. The past few years have witnessed rapid progress in addressing the entropic effects on the structures, responses, and functions in the self-assembling systems, and many breakthroughs have been achieved. This review provides a framework regarding the entropy-controlled strategy of self-assembly, through which the structures and properties can be tailored by effectively tuning the entropic contribution and its interplay with the enthalpic counterpart. First, we focus on the fundamentals of entropy in thermodynamics and the entropy types that can be explored for self-assembly. Second, we discuss the rules of entropy in regulating the structural organization in self-assembly and delineate the entropic force and superentropic effect. Third, we introduce the basic principles, significance and approaches of the entropy-controlled strategy in self-assembly. Finally, we present the applications where this strategy has been employed in fields like colloids, macromolecular systems and nonequilibrium assembly. This review concludes with a discussion on future directions and future research opportunities for developing and applying the entropy-controlled strategy in complex self-assembling systems.

Graphical abstract: The entropy-controlled strategy in self-assembling systems

Article information

Article type
Review Article
Submitted
07 May 2023
First published
25 Sep 2023

Chem. Soc. Rev., 2023,52, 6806-6837

The entropy-controlled strategy in self-assembling systems

X. Zhang, X. Dai, L. Gao, D. Xu, H. Wan, Y. Wang and L. Yan, Chem. Soc. Rev., 2023, 52, 6806 DOI: 10.1039/D3CS00347G

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