In Situ Decoding of Vitrimer Topological Evolution: A Non-Invasive, External Stress-Free Approach via Hierarchical CNT Sensing Networks
Source abstract
Abstract
Vitrimers are covalent adaptable networks (CANs) that undergo thermally activated topological rearrangement via dynamic bond exchange, enabling reprocessability and intrinsic self-healing. However, precise, real-time identification of the topological transition temperature ( T v ) remains challenging, as conventional methods are inherently stress- and protocol-dependent. Here, we present a hierarchically structured piezoresistive sensing strategy based on dual-scale CNT-integrated conductive networks. A mesoscale CNT-decorated glass fibrous web (G-CNT) and a nanoscale CNT/EPON percolation network are synergistically integrated to enable in situ, external-stress-free electrical tracking of disulfide-containing epoxy vitrimer network formation and topological transitions. These multiscale conductive architectures exhibit distinct resistance signatures throughout vitrimer evolution, with pronounced inflection features at T v arising from bond-exchange-driven rearrangements of conductive pathways. Comparative analysis reveals that interfacial G-CNT meso-networks fabricated via ultrasonic atomization exhibit substantially higher sensitivity, manifested by pronounced resistance decreases at T v (Δ R v = −10.9% to −20.0%), enabling instant detection of local topological rearrangements. In contrast, bulk CNT/EPON networks display attenuated resistance responses (Δ R v = −4.3% to −9.4%) associated with matrix-level percolation restructuring. These electrical signatures are corroborated by differential scanning calorimetry, dynamic mechanical analysis, rheology, and dielectric analysis, establishing a direct structure-dynamics-signal correlation. This stress-free, multiscale sensing paradigm provides a scalable route for intrinsic T v identification and process-aware diagnostics in recyclable and adaptive vitrimer-based composites.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Memory and Neural Computing · Ferroelectric and Negative Capacitance Devices · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Engineering
Zhejiang Sci-Tech University
Zhejiang Provincial Innovation Center of Advanced Textile Technology
Funding
Science and Technology Department of Zhejiang Province · National Natural Science Foundation of China · Shaoxing Bureau of Science and Technology · Natural Science Foundation of Zhejiang Province
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