Jun-ichi Shirakashi

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Ashutosh Sharma

IIT Kanpur

Nicole Herbots

Arizona State University

PROF. OM PRAKASH SINHA

Amity University

Mostafa Moonir Shawrav

Tu Wien

Sergey Moiseev

Ulyanovsk State University

Gemma Rius

CSIC (Consejo Superior de Investigaciones Científicas-Spanish National Research Council)

Priya Brata Dutta

Indian Statistical Institute, Calcutta

Jephias Gwamuri

National University of Sciences & Technology (NUST)

CHANDRA S PERUGU

Indian Institute of Science

Anna Pellicelli

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Papers by Jun-ichi Shirakashi

Calculations for Solving Combinatorial Optimization Problems Using Ising Computing Architecture with Different Spin Decision Logic

Temporal Data Prediction Using Wearable Sensing Systems with Linear and Non-Linear Models

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Artificial Intelligence Approach for Control of Quantized Conductance of Au Atomic Junctions Using Feedback-Controlled Electromigration

IEICE Technical Report; IEICE Tech. Rep., Feb 21, 2018

Electrical Properties of Series-Parallel-Connected Au Nanogaps During Electromigration-Based Current Biasing Method

Multi-Parameter Optimization for Quantized Conductance of Au Atomic Junction Using Ising Spin Model

Characteristic of Solving Combinatorial Optimization Using Ising Computing Architecture by Logical Operation

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Fabrication of Au Atomic Junctions Using Artificial Intelligence Implemented on FPGA

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Dynamic Memorization and Forgetting Behavior Demonstrated Using Single Inorganic Synapses of Au Nanogaps

Solving Planar Graph Coloring Problem Using Natural Computing Architecture

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Data Gloves Using Strain Sensors Based on Pyrolytic Graphite Sheet

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Solving Traveling Salesman Problem Using Ising Spin Model

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Optimization of Experimental Parameters Using Ising Spin Model

Investigation of FPGA-Based Ultrafast Feedback-Controlled Electromigration for Intelligent Control of Quantized Conductance

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Electrical Characteristics of Series-Parallel-Connected Nanogap Tunnel Junctions

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Control of Quantized Conductance Using Electromigration with Real-Time Operating System (RTOS)

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Printing deposition of thin group IV films using ballistic hot electron emitter

The Japan Society of Applied Physics, Jul 22, 2016

Tuning of Conductance of Au Nanowires Using FPGA-based Ultrafast Feedback-Controlled Electromigration

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Wearable Devices Based on Thin Graphite Films for Playing Musical Instrument

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Study of Electrical Characteristics of Single-Electron Transistors Using Field-Emission Induced Electromigration Under Low Temperature

a) 1 nA、(b) 100 nA、(c) 300 nA、(d) 500 nA、(e) 700 nA、(f) 1 μA でのアクティベーションを行った後の電流-電圧特性を示す。図より、設定電... more a) 1 nA、(b) 100 nA、(c) 300 nA、(d) 500 nA、(e) 700 nA、(f) 1 μA でのアクティベーションを行った後の電流-電圧特性を示す。図より、設定電流の増加に伴い、絶縁的な特性から(a)、単電子帯電効果を発現後(b), (c), (d)、非線形的な特性(e), (f)に近づいたことが確認できる。これより、本手法を用いてナノギャップの電気的特性がアクティベーション法での設定電流により、段階的に制御されていることがわかる。以上のことから、低温下(T = 16 K)でアクティベーション法を適用することで SET の作製が可能であることが示唆された。また、設定電流 I s を詳細に検討することにより所望の特性を有する SET の作製が期待できる。

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Printing deposition of thin Cu film by ballistic-hot electron-irradiation

The Japan Society of Applied Physics, Feb 8, 2016

Calculations for Solving Combinatorial Optimization Problems Using Ising Computing Architecture with Different Spin Decision Logic

Temporal Data Prediction Using Wearable Sensing Systems with Linear and Non-Linear Models

Download

Artificial Intelligence Approach for Control of Quantized Conductance of Au Atomic Junctions Using Feedback-Controlled Electromigration

IEICE Technical Report; IEICE Tech. Rep., Feb 21, 2018

Electrical Properties of Series-Parallel-Connected Au Nanogaps During Electromigration-Based Current Biasing Method

Multi-Parameter Optimization for Quantized Conductance of Au Atomic Junction Using Ising Spin Model

Characteristic of Solving Combinatorial Optimization Using Ising Computing Architecture by Logical Operation

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