Kelvin Probe Force Microscopy Imaging of Plasticity in Hydrogenated Perovskite Nickelate Multilevel Neuromorphic Devices

ACS Nano, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 11, 2025

Ion drift in nanoscale electronically inhomogeneous semiconductors is among the most important mechanisms being studied for designing neuromorphic computing hardware. However, nondestructive imaging of ion operando devices directly responsible multiresistance states and synaptic memory represents a formidable challenge. Here, we present Kelvin probe force microscopy hydrogen-doped perovskite nickelate device channels subject to high-speed electric field pulses visualize proton distribution by monitoring surface potential changes spatially, which also supported with finite element-based studies. First-principles calculations provide mechanistic insights into origin as function hydrogen donor doping that serves contrast mechanism. We demonstrate 128 (7-bit) nonvolatile conductance levels such relevant in-memory applications. The plasticity measurements are implemented spiking neural networks show promising results classification (SciKit Learn's Iris Wine data sets) control (OpenAI's CartPole-v1 BipedalWalker-v3) simulation tasks.

Language: Английский

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Biomaterials for neuroengineering: Applications and challenges

Regenerative Biomaterials, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 1, 2025

Abstract Neurological injuries and diseases are a leading cause of disability worldwide, underscoring the urgent need for effective therapies. Neural regaining enhancement therapies seen as most promising strategies restoring neural function, offering hope individuals affected by these conditions. Despite their promise, path from animal research to clinical application is fraught with challenges. Neuroengineering, particularly through use biomaterials, has emerged key field that paving way innovative solutions It seeks understand treat neurological disorders, unravel nature consciousness, explore mechanisms memory brain’s relationship behavior, tissue engineering, interfaces targeted drug delivery systems. These including both natural synthetic types, designed replicate cellular environment brain, thereby facilitating repair. This review aims provide comprehensive overview biomaterials in neuroengineering, highlighting functional across basic practice. covers recent developments biomaterial-based products, 2D 3D bioprinted scaffolds cell organoid culture, brain-on-a-chip systems, biomimetic electrodes brain–computer interfaces. also explores artificial synapses networks, discussing applications modeling microenvironments repair regeneration, modulation manipulation integration traditional Chinese medicine. serves guide role advancing neuroengineering solutions, providing insights into ongoing efforts bridge gap between innovation application.

Language: Английский

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Quantifying Hydrogen Chemical Diffusivity in NdNiO₃ Thin Films through Operando Multimodal Measurements

Nano Letters, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

Nickelate oxides show unique properties that make them highly applicable in electrocatalysis, neuromorphic computing, and superconductors. Proton insertion, which effectively tunes their properties, is critical advancing these applications. Its dynamics governed by protonation kinetics, mainly controlled hydrogen chemical diffusivity nickelates. However, its precise quantification remains a significant knowledge gap, with reported values showing substantial discrepancies lack of comprehensive, rigorous methods. In this study, we propose new quantitative approach combines operando multimodal measurements. We provide the NdNiO3 (NNO), prototypical nickelate, using kinetic modeling cross-validation across multiple data dimensions. Our results reveal proton mobility NNO inherently limited, challenging assumption rapid transport This finding for optimizing proton-based devices paves way further understandings ion correlated oxides.

Language: Английский

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Multifunctional Organic Materials, Devices, and Mechanisms for Neuroscience, Neuromorphic Computing, and Bioelectronics

Nano-Micro Letters, Journal Year: 2025, Volume and Issue: 17(1)

Published: May 8, 2025

Abstract Neuromorphic computing has the potential to overcome limitations of traditional silicon technology in machine learning tasks. Recent advancements large crossbar arrays and silicon-based asynchronous spiking neural networks have led promising neuromorphic systems. However, developing compact parallel for integrating artificial into hardware remains a challenge. Organic computational materials offer affordable, biocompatible devices with exceptional adjustability energy-efficient switching. Here, review investigates made development organic devices. This explores resistive switching mechanisms such as interface-regulated filament growth, molecular-electronic dynamics, nanowire-confined vacancy-assisted ion migration, while proposing methodologies enhance state retention conductance adjustment. The survey examines challenges faced implementing low-power computing, e.g., reducing device size improving time. analyses these adjustable, flexible, consumption applications, viz. biohybrid circuits interacting biological systems, systems that respond specific events, robotics, intelligent agents, bioelectronics, neuroscience, other prospects this technology.

Language: Английский

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Metal oxide photoelectric synaptic transistor with CeOx floating gate and its application in neuromorphic computing

Applied Physics Letters, Journal Year: 2025, Volume and Issue: 126(19)

Published: May 12, 2025

Photoelectric synaptic transistors (PSTs) based on metal oxide semiconductors (MOSs) have shown promising applications in visual perception and photonic computing. However, the response range of PST is limited ultra-violet region due to wide bandgap MOS. Herein, a visible light-driven InGaZnO CeOx floating gate presented. The optical improved introduction oxygen vacancies gate, tunable characteristics are endowed. Various behaviors under light stimulation been simulated, including paired-pulse facilitation, high-pass filtering characteristics, transition from short-term memory long-term memory, learning-experience behavior. multilevel conductance modulation realized through programming electrical erasing operations. An artificial neural network was constructed plasticity PST, 95.3% accuracy achieved image recognition. This work promotes development oxide-based provides candidate for bionics inspired by light.

Language: Английский

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Neuromorphic Computing: Cutting-Edge Advances and Future Directions

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 28, 2024

Neuromorphic computing draws motivation from the human brain and presents a distinctive substitute for traditional von Neumann architecture. systems provide simultaneous data analysis, energy efficiency, error resistance by simulating neural networks. They promote innovations in eHealth, science, education, transportation, smart city planning, metaverse, spurred on deep learning artificial intelligence. However, performance-focused thinking frequently ignores sustainability, emphasizing need harmony. Three primary domains comprise neuromorphic research: computing, which investigates biologically inspired processing alternative algorithms; devices, utilize electronic photonic advancements to fabricate novel nano-devices; engineering, replicates mechanisms using CMOS post-CMOS technological advances. This chapter will discuss current state of approach, established upcoming technologies, material challenges, breakthrough concepts, advanced stage emerging technologies. Along with software algorithmic spike networks (SNNs) algorithms, it cover hardware improvements, such as memristors, synaptic processors. We investigate applications robotics, autonomous systems, edge Internet Things (IoT), sensory systems. In conclusion, future challenges possibilities, major findings new research directions.

Language: Английский

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