Bridging Local Anionic Polarity to Macroscopic State Separability: Molecular Design for Tailored Polaron Kinetics in Organic Synaptic Transistors
Myeongjin An, Meng Qiang Li, Donghwa Lee, Junho Sung, Jinglong Pang, Jaewon Lee, Eunho LeeABSTRACT
Rational modulation over carrier dynamics in organic mixed ionic–electronic conductors is fundamental to modern neuromorphic hardware, yet molecularly regulating the relaxation kinetics of polarons to dictate high‐dimensional state space remains an elusive goal. Here, we demonstrate that the anionic polarity index (API), a quantitative metric defining localized charge density, functions as a predictive descriptor bridging microscopic polaron kinetics to macroscopic state space evolution in electrolyte‐gated organic synaptic transistors (EGOSTs). Rather than acting as passive counterions, high‐API anions concentrate their local electrostatic potential, establishing robust non‐covalent interactions with the oxidized polymer matrix. This electrostatic confinement elevates the energy barrier for anion back‐diffusion, retarding polaron relaxation kinetics without sacrificing electrochemical doping efficiency. By translating this local charge localization into macro‐scale transport control, we decouple dynamic range from fading memory, enabling precise tuning of the relaxation time constant and significantly expanding accessible reservoir state space. Consequently, the resulting physical reservoir achieves superior phase‐space separability, yielding a 91.2% classification accuracy in MNIST benchmark simulations and maintaining 89.2% accuracy under fourfold feature compression. This study establishes a generalizable molecular design strategy that quantitatively connects local electrostatic confinement to high‐dimensional state evolution in organic physical reservoirs.