Publication date: 22nd July 2026
Ion transport is increasingly recognized as a key physical mechanism for unconventional computation, enabling nonlinear dynamics, memory, and adaptive behavior beyond conventional electronics. Across diverse iontronic platforms—including mixed ionic–electronic conductors, ionic nanopores, and semiconductor devices with ionic or capacitive dynamics—information can be processed through self-sustained oscillations, spiking, synchronization, and phase relationships.
In this talk, I present a unified dynamical framework showing that these seemingly different systems share a common architecture: a fast electronic or transport instability coupled to a slow ionic recovery process arising from ion migration, charge accumulation, or configurational relaxation. This slow–fast interplay drives self-sustained oscillations through a Hopf bifurcation and provides universal design rules for tuning frequency, waveform, synchronization, and responsiveness.
Recent work illustrates this approach across three representative iontronic platforms: ultrasmooth silicon thyristor oscillators, where capacitive charge storage acts as the slow variable; single-transistor organic electrochemical oscillators, where ionic transport modulates electronic conduction; and rectifying nanopore oscillators, where ion accumulation and deactivation generate autonomous liquid-phase dynamics. Despite their different physical implementations, all exhibit the same bifurcation structure and can be designed within a common nonlinear dynamical framework.
These results establish ionic dynamics as a unifying physical principle for oscillator-based computation, bridging solid-state, organic, and fluidic technologies and providing a general strategy for developing scalable, energy-efficient neuromorphic and unconventional computing systems.
Funded by the European Research Council (ERC) via Horizon Europe Advanced Grant, grant agreement nº 101097688 ("PeroSpiker").
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