# Beyond Traditional RAFT Polymerization: Emerging Strategies and Future Perspectives; A Third Update

**Authors:** Vianna F. Jafari, James L. Grace, Jiajia Li, Joji Tanaka, Glen R. Jones, Athina Anastasaki, Wei You, Jian Zhu, Masami Kamigaito, Cyrille Boyer, Greg G. Qiao

PMC · DOI: 10.1002/advs.202520657 · Advanced Science · 2026-01-14

## TL;DR

This review discusses recent advancements in non-traditional RAFT polymerization from 2020 to 2025, focusing on new activation methods, sustainable recycling, and AI integration.

## Contribution

The paper introduces emerging strategies like AI-driven synthesis and sustainable depolymerization in non-traditional RAFT polymerization.

## Key findings

- Non-traditional RAFT polymerization has seen major innovations in activation techniques.
- RAFT depolymerization is being developed to support sustainable plastic recycling.
- Integration of RAFT with AI enables high-throughput and autonomous polymer discovery.

## Abstract

Reversible addition–fragmentation chain transfer (RAFT) polymerization has undergone transformative growth since its inception in 1998, emerging as a powerful and versatile tool for precision polymer synthesis. This review highlights the latest developments in non‐traditional RAFT polymerization from 2020 to 2025, capturing major innovations in activation techniques and expanding applications. Key emerging directions include the integration of RAFT into smart synthesis platforms powered by artificial intelligence, enabling high‐throughput and autonomous polymer discovery, and innovations in RAFT depolymerization that support sustainable plastic recycling. With RAFT increasingly accessible to diverse materials science domains, this review provides a forward‐looking perspective on the evolving capabilities and future potential of RAFT polymerization.

This review explores recent advances in the past five years for non‐traditional RAFT polymerization, focusing on new activation strategies, sustainable depolymerization, and integration with automated and AI‐driven synthesis. Together, these innovations advance polymer chemistry and reveal how the pieces of the non‐traditional RAFT puzzle are steadily being completed through ongoing development and interdisciplinary progress.

## Full-text entities

- **Chemicals:** polymer (MESH:D011108)

## Full text

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## Figures

27 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12948292/full.md

## References

336 references — full list in the complete paper: https://tomesphere.com/paper/PMC12948292/full.md

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Source: https://tomesphere.com/paper/PMC12948292