2023/12/26 更新

ウサミ ユウキ
宇佐美 雄生
Scopus 論文情報  
総論文数: 0  総Citation: 0  h-index: 7

Citation Countは当該年に発表した論文の被引用数

大学院生命体工学研究科 人間知能システム工学専攻


  • ナノテク・材料 / 応用物性


  • 2015年03月   大阪大学   理学部   化学科   卒業   日本国


  • 2020年03月   大阪大学   理学研究科   化学専攻   博士課程・博士後期課程   修了   日本国


  • 大阪大学  -  博士(理学)   2020年03月


  • 2020年04月 - 現在   九州工業大学   大学院生命体工学研究科   人間知能システム工学専攻     助教


  • 2019年04月 - 2020年03月   日本学術振興会   日本学術振興会特別研究員   日本国


  •   日本神経回路学会   日本国

  •   ナノ学会   日本国

  •   日本化学会   日本国

  •   日本表面真空学会   日本国

  •   応用物理学会   日本国


  • Performance improvement of in-materio reservoir computing by noise injection 招待有り 査読有り 国際誌

    Hakoshima M., Usami Y., Kotooka T., Tanaka H.

    Japanese Journal of Applied Physics   62   2023年06月


    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    Computation performance of in-materio reservoir device was evaluated by varying intensity of noise injection. Materials for the reservoir device was synthesized using a α-Fe2O3/titanium bismuth oxide composite by using the sol-gel method. The prepared samples were characterized by conducting X-ray diffractmetry, transmission electron microscopy, and energy dispersive X-ray spectroscopy to confirm presence of α-Fe2O3, TiO2, and Bi4Ti3O12 nanoparticles. The I-V and V-t curves show nonlinearity, and phase differences between input and output signals, and the fast Fourier transform of the V-t curve showed high harmonics at the input sine wave with 11 Hz of frequency. In the waveform prediction task, the prediction accuracy was improved only when a small intensity of white noise voltage was superimposed to the input information signal.

    DOI: 10.35848/1347-4065/acbd5b


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85152129564&origin=inward

  • Integration of Wireless Power Transfer Technology With Hierarchical Multiwalled Carbon Nanotubes-Polydimethylsiloxane Piezo-Responsive Pressure Sensor for Remote Force Measurement 査読有り 国際誌

    Azhari S., Kimizuka K., Mehes G., Usami Y., Hayashi Y., Tanaka H., Miyake T.

    IEEE Sensors Journal   23 ( 7 )   7902 - 7909   2023年04月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    Integrating sensory devices with wireless power transfer technology for remote sensing (RS) requires the implementation of complex electronic circuitry and communication protocols. To overcome this challenge and remotely monitor mechanical force, we directly integrated piezo-responsive porous multiwalled carbon nanotubes (MWCNTs)/polydimethylsiloxane (PDMS) nanocomposites with a near-field wireless power transfer system. The wireless system transfers power bidirectionally between the transmitter and the sensing receiver at the resonant frequency of 13.56 MHz. The detection principle is based on the mechanical force-induced impedance changes in the receiver circuit. The modulated impedance signal is detected wirelessly at the transmitter circuit via a full-bridge rectifier and a smoothing capacitor. Furthermore, we demonstrate the wireless monitoring of finger bending and applied force using our flexible and disposable sensor without using any energy storage devices. The results suggest a response and recovery time of 400 ± 50 ms, strain sensitivity of 24.73, and pressure sensitivity of 0.98. Our approach adds a new path for disposable haptic-based sensory applications that do not require complex communication protocols in medical, robotics, and other fields.

    DOI: 10.1109/JSEN.2023.3248021


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149370379&origin=inward

  • 分子が学ぶ画像認識 招待有り

    宇佐美 雄生

    化学 ( 株式会社化学同人 )   78 ( 4 )   59 - 60   2023年03月


    担当区分:筆頭著者, 責任著者   記述言語:日本語   掲載種別:記事・総説・解説・論説等(商業誌、新聞、ウェブメディア)

  • Influence of junction resistance on spatiotemporal dynamics and reservoir computing performance arising from an SWNT/POM 3D network formed via a scaffold template technique 査読有り 国際誌

    Azhari S., Banerjee D., Kotooka T., Usami Y., Tanaka H.

    Nanoscale   15 ( 18 )   8169 - 8180   2023年02月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    For scientists in numerous fields, creating a physical device that can function like the human brain is an aspiration. It is believed that we may achieve brain-like spatiotemporal information processing by fabricating an in materio reservoir computing (RC) device because of a complex random network topology with nonlinear dynamics. One of the significant drawbacks of a two-dimensional physical reservoir system is the difficulty in controlling the network density. This work reports the use of a 3D porous template as a scaffold to fabricate a three-dimensional network of a single-walled carbon nanotube polyoxometalate nanocomposite. Although the three-dimensional system exhibits better nonlinear dynamics and spatiotemporal dynamics, and higher harmonics generation than a two-dimensional system, the results suggest a correlation between a higher number of resistive junctions and reservoir performance. We show that by increasing the spatial dimension of the device, the memory capacity improves, while the scale-free network exponent (γ) remains nearly unchanged. The three-dimensional device also displays improved performance in the well-known RC benchmark task of waveform generation. This study demonstrates the impact of an additional spatial dimension, network distribution and network density on in materio RC device performance and tries to shed some light on the reason behind such behavior.

    DOI: 10.1039/d2nr04619a


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85150509508&origin=inward

  • Random network device fabricated using Ag2Se nanowires for data augmentation with binarized convolutional neural network 査読有り 国際誌

    Kotooka T., Tanaka Y., Tamukoh H., Usami Y., Tanaka H.

    Applied Physics Express   16 ( 1 )   2023年01月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    An Ag2Se nanowire random network was fabricated for application as a data augmentation device and combined with a binary convolutional neural network (BCNN) to achieve high accuracy in voice classification tasks. Due to the nonlinear high-dimensional characteristics resulting from the formation of the conductive filament at the cross junction, the Ag2Se device could transform input data into higher-order multiple signals, thereby enhancing the accuracy of the classification task by augmenting input signals. The results indicate that materials can realize data augmentation with the same performance as software, suggesting that material-based hardware can be used as an elemental technology for information processing.

    DOI: 10.35848/1882-0786/acae6a


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85146494177&origin=inward

  • In-materio computing in random networks of carbon nanotubes complexed with chemically dynamic molecules: a review 招待有り 査読有り 国際誌

    Hirofumi Tanaka, Saman Azhari, Yuki Usami, Deep Banerjee, Takumi Kotooka, Oradee Srikimkaew, Thien-Tan Dang, S Murazoe, R Oyabu, Kouki Kimizuka, Masaya Hakoshima

    Neuromorphic Computing and Engineering ( IOP publishing )   2 ( 2 )   022002   2022年05月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    The need for highly energy-efficient information processing has sparked a new age of material-based computational devices. Among these, random networks (RNWs) of carbon nanotubes (CNTs) complexed with other materials have been extensively investigated owing to their extraordinary characteristics. However, the heterogeneity of CNT research has made it quite challenging to comprehend the necessary features of in-materio computing in a RNW of CNTs. Herein, we systematically tackle the topic by reviewing the progress of CNT applications, from the discovery of individual CNT conduction to their recent uses in neuromorphic and unconventional (reservoir) computing. This review catalogues the extraordinary abilities of random CNT networks and their complexes used to conduct nonlinear in-materio computing tasks as well as classification tasks that may replace current energy-inefficient systems.

    DOI: 10.1088/2634-4386/ac676a

    DOI: 10.1088/2634-4386/ac676a


    その他リンク: https://iopscience.iop.org/article/10.1088/2634-4386/ac676a

  • In-materio Reservoir Working at Low Frequencies in a Ag 2 S-island Network 招待有り 査読有り 国際誌

    Motoharu Nakajima, Kazuki Minegishi, Yosuke Shimizu, Yuki Usami, Hirofumi Tanaka, Tsuyoshi Hasegawa

    Nanoscale ( Royal Society of Chemistry )   14 ( 20 )   7634 - 7640   2022年05月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    A Ag2S-island network is fabricated with surrounding electrodes to enable it to be used as a reservoir for unconventional computing. Local conductance change occurs due to the growth/shrinkage of Ag filaments from/into each Ag2S island in the reservoir. The growth/shrinkage of Ag filaments is caused by the drift of Ag+ cations in each Ag2S island, which results in a unique non-linear response as a reservoir, especially at lower frequencies. The response of the reservoir is shown to depend on the frequency and amplitude of the input signals. So as to evaluate its capability as a reservoir, logical operations were performed using the subject Ag2S-island network, with the results showing an accuracy of greater than 99%.

    DOI: 10.1039/D2NR01439D

    DOI: 10.1039/D2NR01439D


    その他リンク: https://pubs.rsc.org/en/content/articlelanding/2022/NR/D2NR01439D

  • Emergence of In‐Materio Intelligence from an Incidental Structure of a Single‐Walled Carbon Nanotube–Porphyrin Polyoxometalate Random Network 査読有り 国際誌

    Deep Banerjee, Takumi Kotooka, Saman Azhari, Yuki Usami, Takuji Ogawa, James K. Gimzewski, Hakaru Tamukoh, Hirofumi Tanaka

    Advanced Intelligent Systems   4 ( 4 )   2100145   2022年01月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    DOI: 10.1002/aisy.202100145

  • Room temperature demonstration of in-materio reservoir computing for optimizing Boolean function with single-walled carbon nanotube/porphyrin-polyoxometalate composite 査読有り

    Banerjee D., Azhari S., Usami Y., Tanaka H.

    Applied Physics Express   14 ( 10 )   2021年10月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    A method for room temperature demonstration of in-materio reservoir computing (RC) with a single-walled carbon nanotube/porphyrin-polyoxometalate network (SWNT/Por-POM) is proposed. Boolean functions of OR, AND, NOR, NAND, XOR, and XNOR, all were reconstructed with an accuracy >90% via supervised training of linear voltage readouts. The RC pre-requisite of echo-state property and recurrent connection allowed for consistent performances over multiple test datasets and time-shifted target sequences. Moreover, a non-zero machine intelligence index confirmed the presence of negative differential resistance dynamics, incorporating in SWNT/Por-POM the mathematical equivalence of additive and subtractive functions, thereby aiding the construction of such complex Boolean functions.

    DOI: 10.35848/1882-0786/ac24db


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85116871506&origin=inward

  • In-Materio Reservoir Computing in a Sulfonated Polyaniline Network 査読有り

    Usami Y., van de Ven B., Mathew D.G., Chen T., Kotooka T., Kawashima Y., Tanaka Y., Otsuka Y., Ohoyama H., Tamukoh H., Tanaka H., van der Wiel W.G., Matsumoto T.

    Advanced Materials   33 ( 48 )   2102688   2021年09月


    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    A sulfonated polyaniline (SPAN) organic electrochemical network device (OEND) is fabricated using a simple drop-casting method on multiple Au electrodes for use in reservoir computing (RC). The SPAN network has humidity-dependent electrical properties. Under high humidity, the SPAN OEND exhibits mainly ionic conduction, including charging of an electric double layer and ionic diffusion. The nonlinearity and hysteresis of the current–voltage characteristics progressively increase with increasing humidity. The rich dynamic output behavior indicates wide variations for each electrode, which improves the RC performance because of the disordered network. For RC, waveform generation and short-term memory tasks are realized by a linear combination of outputs. The waveform task accuracy and memory capacity calculated from a short-term memory task reach 90% and 33.9, respectively. Improved spoken-digit classification is realized with 60% accuracy by only 12 outputs, demonstrating that the SPAN OEND can manage time series dynamic data operation in RC owing to a combination of rich dynamic and nonlinear electronic properties. The results suggest that SPAN-based electrochemical systems can be applied for material-based computing, by exploiting their intrinsic physicochemical behavior.

    DOI: 10.1002/adma.202102688


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114995164&origin=inward

  • Performance of Ag-Ag<inf>2</inf>S core-shell nanoparticle-based random network reservoir computing device 査読有り

    Hadiyawarman , Usami Y., Kotooka T., Azhari S., Eguchi M., Tanaka H.

    Japanese Journal of Applied Physics   60 ( SC )   2021年06月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    Reservoir computing (RC), a low-power computational framework derived from recurrent neural networks, is suitable for temporal/sequential data processing. Here, we report the development of RC devices utilizing Ag-Ag2S core-shell nanoparticles (NPs), synthesized by a simple wet chemical protocol, as the reservoir layer. We examined the NP-based reservoir layer for the required properties of RC hardware, such as echo state property, and then performed the benchmark tasks. Our study on NP-based reservoirs highlighted the importance of the dynamics between the NPs as indicated by the rich high dimensionality due to the echo state property. These dynamics affected the accuracy (up to 99%) of the target waveforms that were generated with a low number of readout channels. Our study demonstrates the great potential of Ag-Ag2S NPs for the development of next-generation RC hardware.

    DOI: 10.35848/1347-4065/abe206


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85102466819&origin=inward

  • Sacrificial gold coating enhances transport of liquid metal in pressurized fountain pen lithography 査読有り

    Livshits G.I., Bao J., Sakamoto L., Misaka T., Usami Y., Otsuka Y., Matsumoto T.

    Scientific Reports   11 ( 1 )   4670   2021年02月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    Liquid metals have attracted attention as functional components for moldable electronics, such as soft flexible connectors, wires or conductive ink. The relatively high surface tension (> 400 mN m−1) and the fact that liquid metals do not readily wet ceramic or oxide surfaces have led to devising unique techniques to spread the liquid and mold its shape. These techniques include surface modification, electrowetting and vacuum filling of channels. This work presents an injection technique based on pressurized fountain pen lithography with glass nanopipettes developed to directly pattern liquid metal on flat hard substrates. The liquid metals were eutectic alloys of Gallium, including Gallium-Indium (EGaIn), Gallium-Indium-Zinc and Gallium-Indium-Tin. The nanopipettes were coated internally with gold, acting as a sacrificial layer and facilitating the wetting of the pipette down to its pore, with an inner diameter of ~ 100–300 nm. By applying hydrodynamic pressure to the connected end of the pipette, the metal was extruded through the pore, forming long continuous (> 3 mm) and narrow (~ 1–15 µm) metal lines on silicon oxide and gold surfaces at room temperature and ambient conditions. With this robust platform, it is possible to pattern liquid metals on a variety of substrates and geometries down to the micron range.

    DOI: 10.1038/s41598-021-84065-4


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85101777503&origin=inward

  • 気相からの金ドーピングによるPCBM薄膜のコンダクタンス増加

    中島 剛志, 三坂 朝基, 宇佐美 雄生, 大塚 洋一, 大山 浩, 松本 卓也

    日本表面真空学会学術講演会要旨集 ( 公益社団法人 日本表面真空学会 )   2020 ( 0 )   2020年12月


    記述言語:日本語   掲載種別:記事・総説・解説・論説等(学術雑誌)


    DOI: 10.14886/jvss.2020.0_267

    CiNii Article

    その他リンク: https://ci.nii.ac.jp/naid/130007959460

  • Frequency dependence dielectrophoresis technique for bridging graphene nanoribbons 査読有り

    Aji W.W., Usami Y., Hadiyawarman , Oyabu R., Tanaka H.

    Applied Physics Express   13 ( 10 )   2020年10月


    担当区分:責任著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2020 The Japan Society of Applied Physics We succeeded in bridging unzipped graphene nanoribbons (GNRs) and separating them from unwanted single-walled carbon nanotubes (SWNTs) using a frequency-dependent dielectrophoresis (DEP) method by varying the frequency and applied voltage used for future assembly. Atomic force micrographs and Raman spectra proved that unzipped GNRs were successfully bridged by the DEP method at frequencies higher than 13 MHz. The theoretical calculation also supported the finding that only GNRs were collected from a mixture of SWNTs/GNRs suspensions.

    DOI: 10.35848/1882-0786/abb68d


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85092552801&origin=inward

  • Local-field-induced current noise in shape-limited self-doped polyaniline 査読有り

    Bao J., Otsuka Y., Etoh R., Usami Y., Matsumoto T.

    Nanotechnology   31 ( 36 )   2020年09月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2020 IOP Publishing Ltd. Electronic noise generators are an essential component of molecular neuromorphic devices. To realize molecular noise generators with a high degree of freedom for design and integration into molecular devices, the utilization of the local electric field for the modulation of electrical conduction via a shape-limited conductive polymer is one promising strategy. Herein, a molecular noise generator composed of thin self-doped polyaniline (SPAN) lines is reported. SPAN lines fabricated via fountain pen lithography on SiO2/Si substrates were found to generate current noise upon laser irradiation. This current noise exhibited white-noise-like power spectral density in the frequency range of 1-25 Hz and was independent of temperature. Multiple independent noise generation on the same substrate was also successfully demonstrated. The present results indicate that the noise generation mechanism involves the local modulation of hopping conduction via SPAN lines owing to the spatial proximity of the conduction path in the SPAN line to the surface photovoltage region of the SiO2/Si interface. This on-site random noise generation in shape-limited conductive polymers is expected to be beneficial for the realization of molecular neuromorphic devices.

    DOI: 10.1088/1361-6528/ab96e4


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087110840&origin=inward

  • Visualization of Charge Migration in Conductive Polymers via Time-Resolved Electrostatic Force Microscopy 査読有り

    Kajimoto K., Araki K., Usami Y., Ohoyama H., Matsumoto T.

    Journal of Physical Chemistry A   124 ( 25 )   5063 - 5070   2020年06月


    記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2020 American Chemical Society. Charge dynamics play an important role in numerous natural phenomena and artificial devices, and tracking charge migration and recombination is crucial for understanding the mechanism and function of systems involving charge transfer. Tip-synchronized pump-probe electrostatic force microscopy simultaneously permits highly sensitive detection, microsecond time resolution, and nanoscale spatial resolution, where the spatial distribution in static measurement (usual EFM) reflects differences in the carrier density and the time evolution reveals the surface carrier mobility. By using this method, carrier injection and ejection in sulfonated polyaniline (SPAN) thin films were visualized. Comparison of tr-EFM results of SPAN thin films with different doping levels revealed the individual differences in carrier density and mobility.

    DOI: 10.1021/acs.jpca.9b12017


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85087110537&origin=inward

  • 物理リザバーに向けたポリアニリン-金微粒子ランダムネットワークの構築 査読有り

    川嶋 悠哉, 宇佐美 雄生, 琴岡 匠, 田中 啓文, 松本 卓也

    日本表面真空学会学術講演会要旨集 ( 公益社団法人 日本表面真空学会 )   2020 ( 0 )   268   2020年01月


    記述言語:日本語   掲載種別:研究論文(学術雑誌)

    <p>リザバーコンピューティング(RC)は、リザバー層で行われる演算を物理現象に置換することができる情報処理システムである。我々は、自己ドープ型ポリアニリン分子(SPAN)と Au ナノ粒子(AuNP)からなるネットワーク内に非線形 <i>I-V </i>特性が発生することを明らかにしている。本研究では、RCへの適用可能性を探るため、ナノギャップ電極によって多入力多出力電極間での非線形電気特性および記憶特性を検討した。</p>

    DOI: 10.14886/jvss.2020.0_268

    CiNii Article

    CiNii Research

    その他リンク: https://ci.nii.ac.jp/naid/130007959456

  • Conjugated electrical properties of Au nanoparticle-polyaniline network 査読有り

    Usami Y., Otsuka Y., Naitoh Y., Matsumoto T.

    Japanese Journal of Applied Physics   56 ( 12 )   2017年12月


    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2017 The Japan Society of Applied Physics. We investigated the electrical properties of a two-dimensional (2D) network consisting of multiple Au nanoparticles (AuNPs) and self-doped polyaniline sulfonate (SPAN). Nonlinear current-voltage (I-V) characteristics with wide variations were observed in the networks. The temperature dependence of the I-V characteristics exhibited a short localization length, suggesting conjugated electronic properties of the AuNP-SPAN network. This result provides a new direction for network-based molecular electronic devices.

    DOI: 10.7567/JJAP.56.128001


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039162069&origin=inward

  • Intra-grain conduction of self-doped polyaniline 査読有り

    Usami Y., Imamura K., Akai T., Che D., Ohoyama H., Kobayashi H., Matsumoto T.

    Journal of Applied Physics   120 ( 8 )   2016年08月


    担当区分:筆頭著者   記述言語:英語   掲載種別:研究論文(学術雑誌)

    © 2016 Author(s). The conduction behavior of ultrathin films (about 10 nm thick) composed of self-doped water-soluble polyaniline sulfonate (SPAN) was investigated using nano-gap electrodes under vacuum conditions. The conductance was found to be ohmic even in the high field regime up to 105V cm-1 over a temperature range of 10-300 K. The temperature dependence of the conductance indicated that SPAN gave the extremely high value of localization length (L) = 300 nm without secondary doping, in comparison with conventional polyaniline. We propose that SPAN forms long-range highly crystalline metallic grains, and we observed intra-grain conduction due to some grains directly bridging the two nano-gap electrodes at low temperature. We conclude that inter-grain conduction becomes dominant as the temperature increases.

    DOI: 10.1063/1.4961610


    その他リンク: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84984950374&origin=inward



  • 電気化学ダイナミクスに基づく演算機能の創製




    開催期間: 2023年05月11日 - 2023年05月13日   記述言語:英語  

  • Material computing based on electrochemical dynamics

    Yuki Usami, Yuichiro Tanaka, Takumi Kotooka, Hakaru Tamukoh, Wilfred van der Wiel, Takuya Matsumoto, Hirofumi Tanaka

    The 4th International Symposium on Neuromorphic AI Hardware -SAES2022 joint session 


    開催期間: 2022年12月13日 - 2022年12月14日   記述言語:英語  

  • In-materio reservoir computing based on electrochemical dynamics

    Yuki Usami, Yuichiro Tanaka, Takumi Kotooka, Hakaru Tamukoh, Takuya Matsumoto, Wilfred G. van der Wiel, Hirofumi Tanaka



    開催期間: 2022年11月08日 - 2022年11月11日   記述言語:英語  

  • 電気化学ダイナミクスリザバーを用いた分類用データ拡張

    宇佐美 雄生、田中 悠一朗、琴岡 匠、 田向 権、田中 啓文



    開催期間: 2022年09月20日 - 2022年09月23日   記述言語:日本語  

  • Reservoir computing in the matter based on electrochemical dynamics

    Yuki Usami, Yuichiro Tanaka, Hakaru Tamukoh, Takuya Matsumoto, Wilfred G. van der Wiel, Hirofumi Tanaka

    16th International Conference on Nanostructured Materials (NANO2022) 


    開催期間: 2022年06月06日 - 2022年06月10日   記述言語:英語   開催地:Sevillia   国名:スペイン  

  • 電気化学ダイナミクスを用いたインマテリオリザバーによる音声分類

    宇佐美 雄生, 田中 悠一朗, 田向 権, Wilfred van der Wiel, 松本 卓也, 田中 啓文



    開催期間: 2022年03月22日 - 2022年03月26日   記述言語:日本語  

  • Chemical integration of molecular network with electrical nonlinearity toward neuromorphic computing

    Yuki Usami, Tomoyo Fukumaru, Yuya Kawashima, Tomoki Misaka, Yoichi Otsuka, Yasuhisa Naitoh, Takuya Matsumo



    開催期間: 2021年12月16日 - 2021年12月20日   記述言語:英語  

  • In-materio voice classification based on self-doped polyaniline by binarized convolutional neural network

    Yuki Usami, Yuichiro Tanaka, Hakaru Tamukoh, Takuya Matsumoto, Wilfred G. van der Wiel, Hirofumi Tanaka



    開催期間: 2021年10月26日 - 2021年10月29日   記述言語:英語  

  • ポリアニリンネットワークの電気化学的物理リザバー演算機能創製

    宇佐美 雄生, Wilfred van der Wiel, 松本 卓也, 田中 啓文



    開催期間: 2021年05月20日 - 2021年05月22日   記述言語:日本語  

  • 自己ドープ型ポリアニリンを用いた電気化学的物理リザバーの演算機能創製

    宇佐美 雄生, Wilfred van der Wiel, 松本 卓也, 田中 啓文



    開催期間: 2021年03月16日 - 2021年03月19日   記述言語:日本語  

  • 自己ドープ型ポリアニリンを用いた電気化学制御リザバーコンピューティング

    宇佐美 雄生, 松本 卓也, Wilfred G. van der Wiel, 田中 啓文



    開催期間: 2020年12月09日 - 2020年12月11日   記述言語:日本語  

  • Electrochemical Controlled Neuromorphic Behavior Based on Self-Doped Polyaniline

    Yuki Usami, Takuya Matsumoto, Wilfred G. van der Wiel, Hirofumi Tanaka

    Electrochemical Controlled Neuromorphic Behavior Based on Self-Doped Polyaniline 


    開催期間: 2020年11月09日 - 2020年11月12日   記述言語:英語  

  • 脳神経型情報処理を目指した非線形電子物性を有する分子ネットワークの化学的構築

    宇佐美 雄生, 川嶋 悠哉, 福丸 知世, 三坂 朝基, 琴岡 匠, 大塚 洋一, 内藤 泰久, 大山 浩, 田中 啓文, 松本 卓也



    開催期間: 2020年09月08日 - 2020年09月11日   記述言語:英語  

  • 非線形電子物性を有する分子ネットワークの化学的構築と情報処理への応用

    宇佐美 雄生, 川嶋 悠哉, 福丸 知世, 三坂 朝基, 琴岡 巧, 大塚 洋一, 内藤 泰久, 大山 浩, 田中 啓文, 松本 卓也



    開催期間: 2020年07月23日 - 2020年07月24日   記述言語:日本語  



  • 識別装置及びそれを有するロボット



    出願番号:2023-115390  出願日:2023年07月14日

  • 演算デバイス、並びに、それを学習させる学習方法及び学習装置

    宇佐美雄生、田中 啓文、箱嶋 将弥、琴岡 匠


    出願番号:2022-201293  出願日:2022年12月16日

  • 力学量センサ及びそれを有するロボット並びに力学量のセンシング方法

    田中啓文, 宇佐美雄生, アズハリサマン, 君塚紘喜


    出願番号:2022-71679  出願日:2022年04月25日

  • 3次元電気素子及びそれを備えた機械学習システム並びにそれぞれの製造方法

    田中啓文, 宇佐美雄生, アズハリサマン


    出願番号:PCT/JP2021/37158  出願日:2021年10月07日

  • 演算素子及びそれを具備する機械学習システム

    宇佐美雄生, 田中啓文, 琴岡匠, 川嶋悠哉, 松本卓也


    出願番号:2021-165303  出願日:2021年10月07日

  • 3次元電気素子及びそれを備えた機械学習システム


    出願番号:2020-174660  出願日:2020年10月16日



  • Material computing based on physicochemical dynamics toward neuromorphic hardware implementation

    Seminar at Politecnico di Milano -1st Italian-Japanese JSPS Core-to-Core Workshop on Material Intelligence-  2022年06月 


    発表言語:英語   講演種別:招待講演  

  • ラマンイメージングを用いたカーボンナノチューブ/グラフェンナノリボン混合体のマイクロスケール分類

    文部科学省ナノテクノロジープラットフォーム令和3年度利用成果発表会  2021年09月 


    発表言語:日本語   講演種別:その他  

  • ナノ材料ネットワークの時間ダイナミクスが拓く物理リザバーの演算機能

    第82回応用物理学会秋季学術講演会  2021年09月 


    発表言語:日本語   講演種別:招待講演  

  • Toward neuromorphic device based on Au nanoparticle/polyaniline network

    International Symposium for Neuromorphic Hardware Research Center  2019年12月 


    発表言語:英語   講演種別:招待講演  

  • Conjugated Electrical Properties of Au Nanoparticles-Polyaniline Network

    Workshop on molecular electronics  2017年06月 


    発表言語:英語   講演種別:招待講演  


  • 導電性高分子を用いた「物理リザバー計算」による音声認識、九工大が成功   インターネットメディア

    宇佐美雄生, 松本卓也, Wilfred van der Wiel, ⽥中啓⽂

    マイナビニュース  2021年09月23日




  • 化学ダイナミクスを計算資源とした低消費電力マテリアルリザバーの開拓

    2022年10月 - 2025年03月



  • 遺伝的アルゴリズムを用いた分子ネットワーク神経回路網の機能発現

    トゥウェンテ大学  オランダ王国  研究期間:  2018年06月04日 - 2018年11月15日


  • The 4th International Symposium on Neuromorphic AI Hardware

    Society of Neurumorphic AI Hardware, Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, JSPS Core-to-Core program, Kitakyushu Convention & Visitors Association  2022年12月13日 - 2022年12月14日

  • The 3rd International Symposium on Neuromorphic AI Hardware

    Society of Neurumorphic AI Hardware, Research Center for Neuromorphic AI Hardware, Kyushu Institute of Technology, Kitakyushu Convention & Visitors Association  プレミアホテル門司港  2022年03月18日 - 2022年03月19日