Takeaki Yajima 研究室（九州大学）

AI 要約（直近 5 年の研究成果）

要約はまだ生成されていません。

※ AI（Claude）が、公開されている論文要旨から研究の問い・手法・主要な発見を事実情報として抽出・再構成して自動生成しています。誤りを含む可能性があるため、正確性は研究室公式情報でご確認ください。

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研究成果（24 件）

[2025] Ultra-Low-Energy Architecture of Temperature Sensor Sheet Integrating Phase-Transition Materials and Digital Circuits
DOI: https://doi.org/10.7567/ssdm.2025.c-1-04
[2025] Designing Asymmetric Memristive Behavior in Proton Mixed Conductors for Neuromorphic Applications
DOI: https://doi.org/10.1002/adfm.202525988
[2025] Designing nonlinearity in a current-starved ring oscillator for reservoir computing hardware
DOI: https://doi.org/10.1038/s41598-025-16209-9
[2024] Review of solid-state proton devices for neuromorphic information processing
DOI: https://doi.org/10.35848/1347-4065/ad297b
[2024] Energy-saving Electronics Based on the Analogy of Neural Circuits
DOI: https://doi.org/10.1541/ieejjournal.144.84
[2024] Real-time information processing via volatile resistance change in scalable protonic devices
DOI: https://doi.org/10.1038/s43246-024-00621-1
[2024] Taming Prolonged Ionic Drift–Diffusion Dynamics for Brain‐Inspired Computation
DOI: https://doi.org/10.1002/adma.202407326
[2024] 1 mV-input voltage step-up circuit for ultra-low voltage thermoelectric power generator
DOI: https://doi.org/10.7567/ssdm.2024.f-4-01
[2023] Long-time-constant leaky-integrating oxygen-vacancy drift-diffusion FET for human-interactive spiking reservoir computing
DOI: https://doi.org/10.23919/vlsitechnologyandcir57934.2023.10185412
[2023] Design of The Ultra-Low-Power Driven VMM Configurations for μW Scale IoT Devices
DOI: https://doi.org/10.1109/mcsoc60832.2023.00018

続きを表示（残り 14 件）

[2023] Resonant Frequency Modulation in Inductive Vibration Power Generator via Resistive Impedance Control
DOI: https://doi.org/10.1109/tpel.2023.3322704
[2023] Giant electrostatic modulation of transient characteristics in metal-to-insulator VO <sub>2</sub> transition
DOI: https://doi.org/10.7567/ssdm.2023.b-6-04
[2023] Scaling of Device Area for Ultra-low-power Dissipation in 2-terminal Protonic Artificial Synapses
DOI: https://doi.org/10.7567/ssdm.2023.b-6-03
[2023] Zero-dimensionality of a scaled-down VO2 metal-insulator transition via high-resolution electrostatic gating
DOI: https://doi.org/10.1038/s41427-023-00486-9
[2023] CMOS-based area-and-power-efficient neuron and synapse circuits for time-domain analog spiking neural networks
DOI: https://doi.org/10.1063/5.0136627
[2022] Self-synchronized Rectifier with Phase Information Extracted from Vibration Energy Harvester
DOI: https://doi.org/10.18494/sam3863
[2022] An Ultra-low-voltage Synaptic Behavior of WO<sub>3</sub>/Pd based 2-terminal Protonic Memristive Device
DOI: https://doi.org/10.7567/ssdm.2022.h-2-02
[2022] Controlling proton volatility in SiO2-capped TiO2 thin films for neuromorphic functionality
DOI: https://doi.org/10.1063/5.0094481
[2022] Ultra-low-power switching circuits based on a binary pattern generator with spiking neurons
DOI: https://doi.org/10.1038/s41598-022-04982-w
[2021] Accumulation, depletion, inversion processes in metal/insulator/p-Si device evaluated by displacement current measurement
[2021] An ultra-compact leaky integrate-and-fire neuron with long and tunable time constant utilizing pseudo resistors for spiking neural networks
DOI: https://doi.org/10.35848/1347-4065/ac43e4
[2021] Observation of the Pinch‐Off Effect during Electrostatically Gating the Metal‐Insulator Transition
DOI: https://doi.org/10.1002/aelm.202100842
[2021] A Compact On-Chip Implementation of Leaky Integrate-and-Fire Neuron with Long and Tunable Time Constant Utilizing Pseudo Resistors
DOI: https://doi.org/10.7567/ssdm.2021.l-2-02
[2021] Atomistic Simulation Study of Impacts of Surface Carrier Scatterings on Carrier Transport in Pt Nanosheets
DOI: https://doi.org/10.1109/led.2021.3077466

科研費（0 件）

まだデータがありません（KAKEN 取り込み後に表示）。

所属学会・役職（0 件）

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AI 要約（直近 5 年の研究成果）

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関連研究室(8 件)

研究成果（24 件）

科研費（0 件）

所属学会・役職（0 件）