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Catalyst-Free Thermoset Polyurethane with Permanent Shape Reconfigurability and Highly Tunable Triple-Shape Memory Performance
Abstract
Thermoset shape memory polymer (SMP) with dynamic covalent bonds in the network is a new class of SMPs for which the permanent shape can be reconfigured via topological rearrangement (plasticity). Catalyzed transcarbamoylation has recently been established as an effective exchange reaction for plasticity in cross-linked polyurethane networks. However, ensuring the plasticity severely constrains the network design which adversely affects the ability to tune other classical shape memory properties for practical applications. Facing this new challenge, we design an amorphous polyurethane system for which the cross-linking density can be adjusted in a wide range. We discovered that the use of an aromatic diisocyanate in the synthesis of the polyurethanes facilitates achieving plasticity without requiring any catalyst. The overall network design leads to tunable recovery stress and shape memory transition temperatures without sacrificing the plasticity. The versatility of our polyurethane SMP is further reflected in its triple-shape memory performance. We anticipate that our tunable polyurethanes will benefit a variety of potential SMP device applications.
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“Such an approach has been largely employed to achieve multiple-way SMPs with a broad glass transition [82-92] and a broad melting transition [93-95] as the switching transition.”
From Two-Way and Multiple-Way Shape Memory Polymers for Soft Robotics: An Overview (2020) · cites this paper as [91]
In the citing paper
“With the introduction of dynamic covalent bonds into the polymer network, the permanent shape of traditional thermoset SMPs can be reconfigured (23, 24).”
From Climbing-inspired twining electrodes using shape memory for peripheral nerve stimulation and recording (2019) · cites this paper as [24]
Citations
Cites
Silica-Like Malleable Materials from Permanent Organic Networks
Montarnal, D., Capelot, M., Tournilhac, F., & Leibler, L. (2011) · Science · doi:10.1126/science.1212648 · Cited by 3,625
Vitrimers: permanent organic networks with glass-like fluidity
Denissen, W., Winne, J. M., & Prez, F. D. (2015) · Chemical Science · doi:10.1039/c5sc02223a · Cited by 1,861
Shape-memory polymers and their composites: stimulus methods and applications
Leng, J., Lan, X., Liu, Y., & Du, S. (2011) · Progress in Materials Science · doi:10.1016/j.pmatsci.2011.03.001 · Cited by 1,495
Zhao, Q., Qi, H. J., & Xie, T. (2015) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2015.04.001 · Cited by 1,409
Self-citationTunable polymer multi-shape memory effect
Xie, T. (2010) · Nature · doi:10.1038/nature08863 · Cited by 1,380
Self-citationHu, J., Zhu, Y., Huang, H., & Lu, J. (2012) · Progress in Polymer Science · doi:10.1016/j.progpolymsci.2012.06.001 · Cited by 1,279
Covalent Adaptable Networks (CANs): A Unique Paradigm in Cross-Linked Polymers
Kloxin, C. J., Scott, T. F., Adzima, B. J., & Bowman, C. N. (2010) · Macromolecules · doi:10.1021/ma902596s · Cited by 1,175
Denissen, W., Rivero, G., Nicolaÿ, R., Ludwik Leibler, B., Winne, J. M., & Prez, F. D. (2015) · Advanced Functional Materials · doi:10.1002/adfm.201404553 · Cited by 1,130
Stimulus-responsive shape memory materials: a review
Sun, L., Huang, W. M., Ding, Z., Zhao, Y., Wang, C. C., Purnawali, H., & Tang, C. (2012) · Materials & Design · doi:10.1016/j.matdes.2011.04.065 · Cited by 1,105
Dynamic Covalent Polymer Networks: from Old Chemistry to Modern Day Innovations
Zou, W., Dong, J., Luo, Y., Zhao, Q., & Xie, T. (2017) · Advanced Materials · doi:10.1002/adma.201606100 · Cited by 1,014
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Items 201–238 of 238
Thermosets based on reversible covalent bonds (Vitrimers)
Jarach, N., Golani, D., Dodiuk, H., Naveh, N., & Kenig, S. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-821632-3.00023-3 · Cited by 9
Cleavable Additives for Deconstructable, Recyclable Polyurethane Thermosets
Ko, K., Lundberg, D. J., Lensch, V., AlFaraj, Y. S., Husted, K. E. L., Brutman, J. P., Alsbaiee, A., Hamilton, P. N., Nguyen, S. T., & Johnson, J. A. (2025) · ACS Central Science · doi:10.1021/acscentsci.5c00689 · Cited by 8
Zeng, X.-R., Zhan, R., Xiao, Y., Shi, L., Yang, K., & Wang, Y.-Z. (2026) · Composites Science and Technology · doi:10.1016/j.compscitech.2026.111576 · Cited by 8
Mechanochemically assisted morphing of shape shifting polymers
Tang, R., Gao, W., Jia, Y., Wang, K., Datta, B. K., Zheng, W., Zhang, H., Xu, Y., Lin, Y., & Weng, W. (2023) · Chemical Science · doi:10.1039/d3sc02404k · Cited by 8
Self-citationHu, J., Hang, G., Gao, Y., Liu, L., Zhang, T., & Zheng, S. (2024) · Macromolecules · doi:10.1021/acs.macromol.4c01147 · Cited by 7
Jin, G., Gong, Y., Wang, J., Wang, M., Wang, J., Hu, S., Wang, R., Qin, X., & Lu, Y. (2024) · Macromolecules · doi:10.1021/acs.macromol.4c01667 · Cited by 7
Bautista‐Anguís, D., Reiner, L., Röper, F., Maar, S., Wolfahrt, M., Wolfberger, A., & Schlögl, S. (2024) · Polymers · doi:10.3390/polym16192799 · Cited by 7
Debnath, S., Kaushal, S., Mandal, S., & Ojha, U. (2020) · Polymer Chemistry · doi:10.1039/c9py01807g · Cited by 7
Wang, Y., Nie, H., Wang, S., Zhang, H., Zhang, X., Huang, M., & Liu, W. (2023) · Journal of Applied Polymer Science · doi:10.1002/app.54467 · Cited by 6
Herrera, F. Z. F., & Vieira, R. P. (2019) · Macromolecular Chemistry and Physics · doi:10.1002/macp.201900163 · Cited by 6
Xing, Z., Wang, Z., Zhao, X., & Yang, X. (2024) · ACS Applied Polymer Materials · doi:10.1021/acsapm.4c01752 · Cited by 5
Guo, X., Gao, F., Chen, F., Huang, J., Gao, X. L., & Shen, L. (2024) · Reactive and Functional Polymers · doi:10.1016/j.reactfunctpolym.2024.105831 · Cited by 5
Pettazzoni, L., Leonelli, F., Marrani, A. G., Migneco, L. M., Vetica, F., Celio, L., Napoleone, V., Alfano, S., Colecchia, A., Amato, F., et al. (2022) · Polymers · doi:10.3390/polym14224919 · Cited by 5
Tian, G., Zhao, S., Pan, L., Yang, D., & Ma, J. (2023) · Journal of Polymer Research · doi:10.1007/s10965-023-03733-3 · Cited by 5
Liu, J., Lin, C., Tao, Y., Jiang, L., Liao, C., Feng, Y., & Fu, L. (2024) · Chinese Journal of Chemistry · doi:10.1002/cjoc.202400449 · Cited by 4
Bioinspired Rubber Composites with Mechanical Robustness, Recyclability, and Shape Memory Properties
Zhang, J., Qin, J., Feng, H., Wang, H., Zao, W., Yang, Y., & Liang, Z. (2022) · Macromolecular Materials and Engineering · doi:10.1002/mame.202200067 · Cited by 4
Preparation of Silica Composite Vitrimers via One‐Shot Transformation from Simple Polyesters
Kimura, T., & Hayashi, M. (2023) · Macromolecular Chemistry and Physics · doi:10.1002/macp.202300082 · Cited by 4
A simple, efficient route to modify the properties of epoxy dynamic polymer networks
Zhao, S., Yang, H.-K., Wang, D., & Russell, T. P. (2021) · Soft Matter · doi:10.1039/d1sm01402a · Cited by 4
Thermadapt Shape Memory Polymers with Predictable and Arbitrary Shape Shifting
Wang, Y., Pan, Y. M., Zheng, Z., & Ding, X. (2018) · Macromolecular Chemistry and Physics · doi:10.1002/macp.201800390 · Cited by 4
Zhu, Y., Man, T., Chen, J., Zhang, X., Zhao, M., Chen, L., & Xiao, C. (2025) · Green Chemistry · doi:10.1039/d5gc04302f · Cited by 3
Ni, R., Zhang, L., Ma, J., Zhang, J., Xu, X., Shi, H., Deng, Q., Hu, W., Hu, J., Ke, Q., et al. (2024) · Nano Letters · doi:10.1021/acs.nanolett.4c03276 · Cited by 3
Catalyst‐Free Dynamic Covalent Polyureas: From Structural Design to Functional Applications
Li, Y., Chu, Y. X., Yao, Y., & Qin, B. (2026) · ChemSystemsChem · doi:10.1002/syst.202500063 · Cited by 1
Chen, Q., Zhou, W.-C., Zhao, Q., Zhao, Z.-Y., Fan, L., Zhai, Y.-M., & Deng, C. (2026) · Polymer · doi:10.1016/j.polymer.2026.130054 · Cited by 1
Self-citationSynthèse et caractérisation de vitrimères de transestérification sans catalyseur
Cuminet, F. (2022) · theses.fr (ABES) · doi:10.70675/e94fbc58z786dz4c1cz8b4azf60f1996411b · Cited by 1
Chemical welding of polyurethanes and their composites
Vashchuk, A., Iurzhenko, M. V., Korab, M. G., & Privalko, E. G. (2021) · The Paton Welding Journal · doi:10.37434/tpwj2021.12.06
Covalent Adaptable Networks (CANs)Preprint
Alabiso, W., & Schlögl, S. (2020) · doi:10.32545/encyclopedia202007.0020.v4
Hierarchical motion of 4D-printed structures using the temperature memory effect
Scalet, G., Pandini, S., Inverardi, N., & Auricchio, F. (2022) · Elsevier eBooks · doi:10.1016/b978-0-323-95430-3.00010-5
Shape memory polyurethane-based foams and aerogels
Jacob, C., Kuruvilla, M., Naiker, V., & Raghavan, P. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-99452-1.00016-4
Designing for intelligent performance
Feng, W. (2025) · Elsevier eBooks · doi:10.1016/b978-0-443-40409-2.00003-7
Yang, Y., Sun, Y., Yang, X., Zhang, C., Gao, H., Zhang, H., Wang, J., Yang, Y., Wang, W., & Cao, Y. (2025) · Iranian Polymer Journal · doi:10.1007/s13726-025-01521-y
Mhatre, S. V., Epps, T. H. I., & Korley, L. T. J. (2025) · Macromolecular Chemistry and Physics · doi:10.1002/macp.202500230
Completely Recyclable Thermosets Based on C6-ROMP and Coordination Adaptable NetworksPreprint
Choi, K., Lee, S., Shim, H., Im, B., Mete, T. B., Jeong, J., & Hong, S. H. (2025) · ChemRxiv · doi:10.26434/chemrxiv-2025-g7tkq
Heat-resistant Microporous Star-shaped Casting Polyurethane for Airless Electric Bicycle Tires
Yuan, C.-Y., Shi, L., Ji, S.-C., Chen, H.-L., Tong, X., Hao, Z.-Y., Pan, X.-D., Yin, X.-Z., & Zheng, L. (2025) · Chinese Journal of Polymer Science · doi:10.1007/s10118-025-3491-7
Shape memory polymers: a new avenue to dry adhesives
Ramdas, M. R., & Kumar, K. S. S. (2026) · Proceedings of the Indian National Science Academy · doi:10.1007/s43538-026-00763-5
Tannert, R., Taubert, A., & Weber, J. (2026) · Macromolecular Materials and Engineering · doi:10.1002/mame.70247
Chu, R., Mao, H., & Chen, C. (2026) · ACS Applied Polymer Materials · doi:10.1021/acsapm.6c01948
Polyurethane foam recycling based on dynamic covalent chemistry: strategies and perspectives
Wang, J., & You, Y. (2026) · Polymer Chemistry · doi:10.1039/d6py00698a
Purkaysta, K. D., & Picu, C. R. (2026) · ACS Applied Polymer Materials · doi:10.1021/acsapm.6c02996
Metadata
- Authors
- Zheng, N., Hou, J., Xu, Y., Fang, Z., Zou, W., Zhao, Q., & Xie, T.
- Affiliations
- State Key Laboratory of Chemical Engineering (CN)
- Corresponding author
- Zhao, Qian
- Xie, Tao
- Venue
- ACS Macro Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-03-15
- Volume
- 6
- Issue
- 4
- Pages
- 326-330
- ISSN
- 2161-1653 (ISSN-L)
- OpenAlex
- W2598842450
- Cited by
- 237
- References
- 32
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 21 · 2023: 20 · 2022: 32 · 2021: 31 · 2020: 32 · 2019: 45 · 2018: 24 · 2017: 10
- FWCI
- 17.37
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Macro Letters (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Ministry of Science and Technology of the People's Republic of China (2015CB351903)
- National Natural Science Foundation of China (21474084, 21474090, 21625402)
- Central Committee of the Communist Party of China
- Topics
- Physical Sciences › Materials Science › Polymers and Plastics › Polymer composites and self-healing
- Physical Sciences › Engineering › Mechanical Engineering › Advanced Materials and Mechanics
- Physical Sciences › Materials Science › Biomaterials › Hydrogels: synthesis, properties, applications
- Keywords
- thermoset polyurethane, shape memory polymers, dynamic covalent bonds, plasticity, aromatic diisocyanates, crosslink density, recovery stress
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