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Recent Advances in Diversity-Oriented Polymerization Using Cu-Catalyzed Multicomponent Reactions

期刊

MACROMOLECULAR RAPID COMMUNICATIONS
卷 43, 期 12, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/marc.202100642

关键词

Cu-catalyzed multicomponent polymerization; Cu-catalyzed multicomponent reaction; diversity-oriented polymerization

资金

  1. Creative Research Initiative Grant through the National Research Foundation of Korea
  2. Nano-Material Technology Program through the National Research Foundation of Korea
  3. Young Researcher Program through the National Research Foundation of Korea [2021R1C1C1006090]
  4. Carbon to X Project through the National Research Foundation of Korea [2020M3H7A1098281]
  5. Center for Convergence Research of Neurological Disorders through the National Research Foundation of Korea [2019R1A5A2026045]
  6. National Research Foundation of Korea [2020M3H7A1098281, 2021R1C1C1006090] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

向作者/读者索取更多资源

Diversification of polymer structures is crucial for unique applications, and diversity-oriented polymerization (DOP) using multicomponent polymerization (MCP) has emerged as an efficient strategy. Cu-catalyzed MCP (Cu-MCP) has overcome previous challenges in MCP, paving the way for diverse and complex polymer structures. Future research will focus on the advancement and optimization of Cu-MCP for innovative polymer applications.
Diversification of polymer structures is important for imparting various properties and functions to polymers, so as to realize novel applications of these polymers. In this regard, diversity-oriented polymerization (DOP) is a powerful synthetic strategy for producing diverse and complex polymer structures. Multicomponent polymerization (MCP) is a key method for realizing DOP owing to its combinatorial features and high efficiency. Among the MCP methods, Cu-catalyzed MCP (Cu-MCP) has recently paved the way for DOP by overcoming the synthetic challenges of the previous MCP methods. Here the emergence and progress of Cu-MCP, its current challenges, and future perspectives are discussed.

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