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Spatial evolution of the proton-coupled Mott transition in correlated oxides for neuromorphic computing

Xing Deng, Yu-Xiang Liu, Zhenzhong Yang, Yi‐Feng Zhao, Yating Xu, Meng-Yao Fu, Yu Shen, Ke Qu, Zhao Guan, Wen‐Yi Tong, Yuanyuan Zhang, Binbin Chen, Ni Zhong, Ping‐Hua Xiang, Chun‐Gang Duan

2024Science Advances24 citationsDOIOpen Access PDF

Abstract

The proton-electron coupling effect induces rich spectrums of electronic states in correlated oxides, opening tempting opportunities for exploring novel devices with multifunctions. Here, via modest Pt-aided hydrogen spillover at room temperature, amounts of protons are introduced into SmNiO 3 -based devices. In situ structural characterizations together with first-principles calculation reveal that the local Mott transition is reversibly driven by migration and redistribution of the predoped protons. The accompanying giant resistance change results in excellent memristive behaviors under ultralow electric fields. Hierarchical tree-like memory states, an instinct displayed in bio-synapses, are further realized in the devices by spatially varying the proton concentration with electric pulses, showing great promise in artificial neural networks for solving intricate problems. Our research demonstrates the direct and effective control of proton evolution using extremely low electric field, offering an alternative pathway for modifying the functionalities of correlated oxides and constructing low–power consumption intelligent devices and neural network circuits.

Topics & Concepts

Neuromorphic engineeringProtonTransition (genetics)Computer scienceChemical physicsPhysicsMaterials scienceNanotechnologyChemistryArtificial intelligenceArtificial neural networkNuclear physicsBiochemistryGeneAdvanced Memory and Neural ComputingNeural Networks and Reservoir ComputingFerroelectric and Negative Capacitance Devices
Spatial evolution of the proton-coupled Mott transition in correlated oxides for neuromorphic computing | Litcius