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Hybrid Electrolyte-Doped OFETs Enabling Synaptic Plasticity and Physical Reservoir Computing
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DOI：10.1002/admt.71212.png)
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Abstract
En 中文
Emerging applications such as brain-machine interfaces, bio-compatible prosthetics, and adaptive soft robotics rely on artificial neuromorphic devices that can interface directly with biological systems. To address this need, we demonstrate organic field-effect transistors (OFETs) doped with a hybrid electrolyte, 1,4-di-tert-butylbenzene-2,5-bis(1-propoxy-3-sulfonate) lithium salt (BBOPSO3Li), as novel artificial synaptic devices. Incorporation of BBOPSO3Li into poly(3-hexylthiophene) (P3HT) channels enables precise modulation of shallow trap states through the close energetic alignment of BBOPSO3Li with the P3HT HOMO (∼0.1 eV offset), resulting in tunable threshold voltage, controllable hysteresis, and enhanced carrier mobility. Doped devices exhibit outstanding synaptic functions, including excitatory postsynaptic current (EPSC), paired-pulse facilitation (PPF), and long-term potentiation–depression (PD) with analog weight updates. An optimal doping level of 0.070 mol% provides the highest excitability, balanced temporal memory characteristics, and the widest conductance window. System-level validation demonstrated improved classification accuracy (up to 89.8% on MNIST-like datasets) and robust time-series prediction in a physical reservoir computing framework, achieving a normalized mean square error of −32 dB. These findings demonstrate that hybrid electrolytes capable of self-doping can be used to introduce well-defined, reversible trap states, allowing control of synaptic plasticity and temporal dynamics in OFETs, advancing their potential as efficient neuromorphic computing platforms.
Keywords:
hybrid electrolytes
neuromorphic devices
organic field-effect transistors (OFET)
poly(3-hexylthiophene) (P3HT)
reservoir computing
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