Reconfigurable Neuromorphic Logic Circuits Driven by Ion‐Mediated Organic Electrochemical Diodes

ABSTRACT The rapid growth of data‐intensive computing has exposed the physical limitations of conventional hardware architectures. While accumulative multistate memory devices offer low‐power alternatives, incorporating multistate reconfigurability into switching devices enables fully integrated, multifunctional neuromorphic operations across both logic and memory. Herein, we report programmable multistate logic circuits based on organic neuromorphic devices. By leveraging the intrinsic learning capability of organic electrochemical diodes (OECDs), multiple logic functions are realized within a single diode‐resistor configuration. The channel conductance of each OECD is dynamically modulated by the polarity and frequency of the input voltage, enabling seamless reconfiguration to execute custom logic operations (e.g., AND/OR and XOR/unknown). Furthermore, we demonstrate a functional half‐adder by cascading two multistate logic circuits as a proof‐of‐concept neuromorphic computing architecture. These results establish a promising pathway toward on‐chip, learning‐based digital circuitry with potential relevance to future neuromorphic computing applications.