Electrochemically-assembled Polymeric Architectures for Adaptive Bioelectronic Interfaces
Luisa Petti a, Matteo Boggiatto a, Giovanna Gentile a, Giuseppe Ciccone a
a Free university of Bozen-Bolzan, Via Bruno Buozzi 1, Bolzano, Italy
Proceedings of MATSUS Spring 2026 Conference (MATSUSSpring26)
H4 Neuromorphic devices and systems
Barcelona, Spain, 2026 March 23rd - 27th
Organizer: Francesca Borghi
Invited Speaker, Luisa Petti, presentation 516
Publication date: 15th December 2025

Self-assembled conducting-polymer architectures offer a powerful route to create adaptive bioelectronic systems without relying on rigid templates or conventional patterning. Among these materials, PEDOT dendritic fibers formed through AC electropolymerization stand out for their ability to grow into hierarchical, branched networks whose morphology and conductivity emerge directly from local electric fields and ionic dynamics. This template-less growth not only simplifies fabrication but also yields architectures with intrinsic electronic responsiveness and mixed ionic/electronic transport.

In this talk, we present recent advances demonstrating how these dendritic networks can serve as adaptive interfaces for biological systems. Their complex microstructure provides both a physical scaffold and an active electrochemical environment that supports cell adhesion and organization. Because the fibers modulate—and are modulated by—the surrounding electrolyte, they enable a form of reciprocal bioelectronic feedback, where cellular activity influences the polymer’s state and vice versa. This creates opportunities for spatially localized stimulation, sensing, and computation within a single soft-matter platform.

To guide the rational design of such systems, we introduce a computational framework that models field-driven dendritic morphogenesis and predicts the resulting electrotactic landscape for cells. The simulations capture key experimental trends and identify regions that promote directed cell motion or alignment, providing a foundation for programming template-less interfaces capable of influencing cellular behavior.

Overall, these results outline a pathway toward electrochemically-assembled, biologically integrated, and computationally capable materials—advancing the vision of soft, adaptive bioelectronics rooted in emergent physical principles.

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