ニュース
- 2024/09/25
- 【お知らせ】マルチモーダルAIの紹介YouTube公開
- 2024/09/02
- 【お知らせ】10/17(木)第4回未来技術講演会開催案内
- 2024/07/10
- 2024/06/25
- 2024/04/30
- 【お知らせ】 毎日小学生新聞「ふしぎのひみつきち」に清水太陽研究員(材料機能創発研究チーム)が担当したカーボンナノチューブの研究に関する紹介記事が掲載されました
- 2024/04/26
- 2024/04/22
- 2024/02/22
- 2024/02/01
- 2024/01/31
- 2023/12/31
- 【受賞報告】第33回日本MRS年次大会 若手奨励賞受賞 (材料機能創発チーム・室賀駿主任研究員)
- 2023/12/26
- 2023/12/06
- 【産総研マガジン】#話題の○○を解説 ”カーボンナノチューブ”とは?が掲載されました
- 2023/11/17
- 【活動報告】産総研一般公開2023 in つくばセンター
- 2023/11/16
- 【受賞報告】第17回分子科学討論会(大阪)2023分子科学会優秀講演賞を受賞
- (化学評価チーム・藤井香里研究員)
- 2023/11/10
- 2023/09/27
- 【活動報告】筑波会議2023参加(室賀駿主任研究員)
- 2023/08/28
- 【お知らせ】第3回ナノカーボン未来技術講演会 (終了しました)
- 2023/06/26
- 【研究成果】マルチモーダルAIに関する論文掲載のお知らせ
- 2023/04/05
- 【受賞報告】材料・化学領域長賞(貢献賞)を受賞
- (小久保研総括研究主幹、室賀駿主任研究員、畠賢治研究センター長)
- 2023/03/10
- 【受賞報告】ISPlasma2023/IC-PLANTS2023 The Best Poster Presentation Awardsを受賞
- (辻享志 主任研究員)
- 2023/02/06
- 【お知らせ】日本ゼオン㈱がnano tech大賞を受賞
- 2023/02/02
- 【研究成果】論文掲載のお知らせ (二次元ナノデバイス材料研究チーム)
- 2023/01/16
- 【受賞報告】第19回大澤賞を受賞 (岡田光博 研究員)
- 2022/11/10
- 【受賞報告】AIに関する研究成果で高分子学会広報委員会パブリシティ賞を受賞 (室賀駿 主任研究員)
- 2022/09/30
- 【受賞報告】第63回FNTGシンポジウム若手奨励賞受賞 (化学評価研究チーム・児島敬子氏(筑波大院数理物質科学研究科))
- 2022/09/16
- 2022/08/08
- 2022/06/30
- 2022/05/10
- 【お知らせ】2022年度CNTウェビナー開催案内
- 2022/04/01
- 【お知らせ】ナノカーボンデバイス研究センター発足
<ナノチューブ実用化研究センターの過去のお知らせ>一覧へ
論文発表(2024年度)
5. "Semiconducting Carbon Nanotube Extraction Enabled by Alkylated Cellulose Wrapping"Tomoko Yagi, Kazuhiro Yoshida, Shunsuke Sakurai, Tsuyoshi Kawai, Yoshiyuki Nonoguchi
J. Am. Chem. Soc. 2024, 146, 30, 20913–20918 (2024)
DOI: https://doi.org/10.1021/jacs.4c05468
4. "Double-Layer Support Strategy for Enhancing the Lifetime of Fe Catalyst Nanoparticles in Synthesis of Single-Walled Carbon Nanotubes"
Shunsuke Sakurai, Takashi Tsuji, Jinping He, Maho Yamada, and Don N. Futaba
ACS Applied Nano Materials 7, 11 (2024)
DOI:doi/10.1021/acsanm.4c01293
3. "Analysis of carbon nanotube levels in organic matter: an inter-laboratory comparison to determine best practice"
Jérôme Devoy, Souhail Al-Abed, Benjamin Cerdan, Wan-Seob Cho, David Dubuc, Emmanuel Flahaut, Katia Grenier, Stéphane Grossmann, Mary Gulumian, Jiyoung Jeong, Boo Wook Kim, Adam Laycock, Jong Seong Lee, Rachel Smith, Mei Yang, Il Je Yu, Minfang Zhang and Frédéric Cosnier
Nanotoxicology 18, 2 (2024)
DOI: https://doi.org/10.1080/17435390.2024.2331683
2. "Nanofiller effect of single-walled carbon nanotubes to elongate, toughen and acceleratingly produce ionic liquid dry-jet wet spun cellulose fibre"
Kazufumi Kobashi, Takahiro Morimoto, Minfang Zhang, Takushi Sugino, Toshiya Okazaki, Junya Tsujino, Hideki Kajita, Yasuyuki Isojima, Yasuo Gotoh
Composite Part B 283 111643 (2024)
DOI: https://doi.org/10.1016/j.compositesb.2024.111643
1. "Chromatographic Assessment of Organic Compounds Using Carbon Nanotubes: The Relationship between Affinity and Dispersibility"
Taiyo Shimizu, Ryoichi Kishi, Atsushi Hirano, Ken Kokubo and Kenji Hata
Nanomaterials 14(10), 824 (2024)
DOI: https://doi.org/10.3390/nano14100824
論文発表(2023年度)
16. "Enhancing the Thermal Conductivity of CNT/AIN/Silicone Rubber Composites by Using CNTs Directly Grown on AIN to Achieve a Reduced Filler Filling Ratio"Naoyuki Matsumoto, Don N. Futaba, Takeo Yamada, and Ken Kokubo
Nanomaterials 14(6), 528 (2024)
DOI: https://doi.org/10.3390/nano14060528
15. "Visible-frequency plasmonic enhancement at the edge of Graphene/h-BN heterostructures on silicon substrate"
Jaroslav Kuliček, Takatoshi Yamada, Takashi Taniguchi, Bohuslav Rezek
Carbon 219 118836 (2024)
DOI: https://doi.org/10.1016/j.carbon.2024.118836
14. "Characterization of band alignment at a metal–MoS2 interface by Kelvin probe force microscopy"
Mitsuhiro Okada, Yuki Okigawa, Takeshi Fujii, Takahiko Endo, Wen Hsin Chang, Naoya Okada, Toshifumi Irisawa, Yasumitsu Miyata, Tetsuo Shimizu, Toshitaka Kubo and Takatoshi Yamada
Jpn. J. Appl. Phys. 63, 01SP15 (2024)
DOI :https://doi.org/10.35848/1347-4065/acfa07
13. "Electrical resistivity mapping of potassium-doped few-layer CVD graphene by EBAC measurements"
Yuki Okigawa, Hideaki Nakajima, Toshiya Okazaki and Takatoshi Yamada
J. Phys. D: Appl. Phys. 57 075302 (2023)
DOI :https://doi.org/10.1088/1361-6463/ad0aee
12. "Real-time Autonomous Control of a Continuous Macroscopic Process as Demonstrated by Plastic Forming"
Shun Muroga, Takashi Honda, Yasuaki Miki, Hideaki Nakajima, Don N. Futaba, Kenji Hata
arXiv:2312.08658 (2023)
11. "Tabular Two-Dimensional Correlation Analysis for Multifaceted Characterization Data"
Shun Muroga, Satoshi Yamazaki, Koji Michishio, Hideaki Nakajima, Takahiro Morimoto, Nagayasu Oshima, Kazufumi Kobashi, Toshiya Okazaki
arXiv:2311.15703 (2023)
10. "Addressing the Trade-Off between Crystallinity and Yield in Single-Walled Carbon Nanotube Forest Synthesis Using Machine Learning"
Dewu Lin, Shun Muroga, Hiroe Kimura, Hirokuni Jintoku, Takashi Tsuji, Kenji Hata, Guohai Chen, and Don N. Futaba
ACS Nano, Vol. 17, Issue 22, 22821–22829 (2023)(IF=17)
DOI: 10.1021/acsnano.3c07587.
9. "Potassium-doped nano graphene as an intermediate layer for graphene electronics"
T. Yamada, T. Masuzawa, Y. Okigawa
Applied Physcs Letters 123, 021904 (2023)
DOI: 10.1063/5.0147956.
8. "Charge stabilization of shallow nitrogen-vacancy center using graphene/diamond junction"
M.Haruyama, Y. OKigawa, M. Okada, H. Nakajima, T. Okzaki, H. Kato, T. Makino ,T. Yamada
Applied Physcs Letters 122, 141601 (2023)
doi.org/10.1063/5.0143062.
7. "A Comprehensive and Versatile Multimodal Deep-Learning Approach for Predicting Diverse Properties of Advanced Materials."
Shun Muroga, Yasuaki Miki, Kenji Hata
Advanced Science (IF: 15), 2302508 (2023)
DOI: 10.1002/advs.202302508
6. "Rapid room temperature degradation of carbon nanotubes by sodium hypochlorite and UV-light irradiation"
Mei Yang, Yoko Iizumi, Liang Chen, Toshiya Okazaki, Don Futaba, Minfang Zhang
Carbon 208 (2023), 238-246
DOI: 10.1016/j.carbon.2023.03.046.
5. "Synthesis of Carbon Nanotubes Using Layered Double Hydroxide with Various Metal Compositions as Catalyst Precusors"
Chika Chida, Sumio Aisawa, Riku Kumagai, Jing Sang, Hidetoshi Hirahara, Hiroe Kimura, and Don N. Futaba
Chem. Lett. 2023, 52, 412-415.
DOI: 10.1246/cl.230112
4. "Step-by-step characterization of a series of polyamidoamine dendrons on carbon nanohorn surface"
Hideaki Nakajima, Kazufumi Kobashi, Christina Stangel, Takahiro Morimoto, Minfang Zhang, Nikos Tagmatarchis, Toshiya Okazaki
Applied Surface Science, vol. 624, 157077-1-8.
DOI: 10.1016/j.apsusc.2023.157077
3. "Characterization of diamond radiation detector with B-doped/undoped stacked structure"
Tomoaki Masuzawa, Taku Miyake, Hisaya Nakagawa, Takayuki Nakano, Katsuyuki Takagi, Toru Aoki, Hidenori Mimura, Takatoshi Yamada
Diamond and Related Materials 136 (2023) 109985.
DOI: 10.1016/j.diamond.2023.109985
2. "Visualization of deformation-induced changes in carbon nanotube networks in rubber composites using lock-in thermography"
Naoyuki Matsumoto, Hideaki Nakajima, Takahiro Morimoto, Takeo Yamada, Toshiya Okazaki and Ken Kokubo
RSC Adv.(2023),13,11884. DOI: 10.1007/s10971-023-06110-0
1. "Improvement of the thermal stability of silicone-based aerogels without deteriorating their flexibility via the incorporation of well-dispersed carbon nanotubes"
Taiyo Shimizu, Takeo Yamada, Naoyuki Matsumoto, Ken Kokubo and Kenji Hata
J. Sol-Gel Sci. Technol. (2023) DOI: 10.1039/d3ra00717k
論文発表(2022年度)
21. "Charge stabilization of shallow nitrogen-vacancy centers using graphene/diamond junctions" 【Editor's Pickに採択されました。】Applied Physics Letters 122, 141601 (2023) DOI: 10.1063/5.0143062
Moriyoshi Haruyama, Yuki Okigawa, Mitsuhiro Okada, Hideaki Nakajima, Toshiya Okazaki, Hiromitsu Kato, Toshiharu Makino and Takatoshi Yamada
20. "A Comprehensive and Versatile Multimodal Deep Learning Approach for Predicting Diverse Properties of Advanced Materials",
arXiv:2303.16412 (2023).
Shun Muroga, Yasuaki Miki, Kenji Hata
19. "Micro and macroscopic structure evolution of few-walled carbon nanotube bundled network by high temperature anneal", Carbon, 203, 785-800 (2023). (IF=11.307)
K. Kobashi, S. Yamazaki, K. Michishio, H. Nakajima, S. Muroga, T. Morimoto, N. Oshima and T. Okazaki
18. "A Microwave-Assisted, Solvent-Free Approach for the Versatile Functionalization of Carbon Nanotubes",ACS Nano (IF. 18)
D. Lin, D. N. Futaba, K. Kobashi, M. Zhang, S. Muroga, G. Chen, T. Tsuji, K. Hata
17. "Influence of the Chemical Structure of Aromatic Dispersants on the Dispersion of Carbon Nanotubes",Colloids and Surface A: Physicochemical and Engineering Aspects (IF: 5.5) (2023) H. Jintoku, Y. Matsuzawa
16. "Hexagonal Boron Nitride Heterostructures Go Large",News & Views, Nature Electronics (IF: 33.7) (2023)
D.N. Futaba
15. "Single-walled Carbon Nanotube Membranes Accelerate Active Osteogenesis in Bone Defects: Potential of Guided Bone Regeneration Membranes",ACS Biomater. Sci. Eng., 8, 1667-1675 (2022) Y. Xu, E. Hirata, Y. Iizumi, N. Ushijima, K. Kubota, S. Kimura, Y. Maeda, T. Okazaki, A. Yokoyama
14. "Liquid crystalline behaviors of single-walled carbon nanotubes in aqueous sodium cholate dispersion",Langmuir, 38, 8899-8905 (2022)
K. Kojima, M. Aizawa, T. Yamamoto, S. Muroga, K. Kobashi, T. Okazaki
13. "Liquid-crystalline behaviors of single-walled carbon nanotube aqueous dispersions with different nanotube aspect ratios and surfactants",Appl. Phys. Exp., 125003 (2022)
K. Kojima, H. Jintoku, Y. Kuwahara, M. Aizawa, T. Yamamoto, S. Muroga, K. Kobashi, T. Okazaki
12. "Elevated Myl9 and thrombospondin-1-expressing monocytes correlate with SARS-CoV-2-associated immunothrombosis and COVID-19 severity",Proc. Nat. Acad. Sci., 119(33), e2203437119 (2022). (IF=12.779)
C. Iwamura, K. Hirahara, M. Kiuchi, S. Ikehara, K. Azuma, T. Shimada, S. Kuriyama, S. Ohki, E. Yamamoto, Y. Inaba, Y. Shiko, A. Aoki, K. Kokubo, R. Hirasawa, T. Hishiya, K. Tsuji, T. Nagaoka, S. Ishikawa, A. Kojima, H. Mito, R. Hase, Y. Kasahara, N. Kuriyama, T. Tsukamoto, S. Nakayama, T. Urushibara, S. Kaneda, S. Sakao, M. Tobiume, Y. Suzuki, M. Tsujiwaki, T. Kubo, T. Hasegawa, H. Nakase, O. Nishida, K. Takahashi, K. Baba, Y. Iizumi, T. Okazaki, M. Y. Kimura, I. Yoshino, H. Igari, H. Nakajima, T. Suzuki, H. Hanaoka, T. Nakada, Y. Ikehara, K. Yokote and T. Nakayama
11. "Porosity and Size Analysis of Porous Microparticles by Centrifugal Sedimentation with and without Density Gradien",Powder Technol., 407, 117663 (2022). (IF=5.134)
Y. Kato, T. Morimoto, K. Kobashi, T. Yamaguchi, T. Mori, T. Sugino, T. Okazaki
10. "Improving carbon nanotube/copper film composite electrical performances by tailoring oxygen interface through gaseous ozone treatment of carbon nanotube films",Synthetic Metals, 288, 117103, 1-8 (2022). (IF=4)
R. M. Sundaram, A. Sekiguchi, T. Yamada, K. Kokubo, K. Hata
9. "Structural Design and Fabrication of Multifunctional Nanocarbon Materials for Extreme Environmental Applications",Adv. Mater. 2022, 34, 2201046
Sijia Wu, Huajian Li, Don N. Futaba, Guohai Chen, Chen Chen, Kechen Zhou, Qifan Zhang, Miao Li, Zonglin Ye, Ming Xu
8. "Dual Optimization of Bulk and Surface via Guanidine Halide for Efficient and Stable 2D/3D Hybrid Perovskite Solar Cells",Adv. Energy Mater. 2022, 12, 2201105
Xiaobo Zhang, Wencai Zhou, Xiaoqing Chen, Yichuan Chen, Xuhong Li, Manqi Wang, Ying Zhou, Hui Yan, Zilong Zheng, Yongzhe Zhang
7. "Dispersion-managed Tm-Ho co-doped ultrashort pulse fiber laser using single-walled carbon nanotube and spectral filter",Appl. Sci. 2022, 12(23), 12369
Keisuke Fukazawa, Ying Zhou, Shotaro Kitajima, Takeshi Saito, Youichi Sakakibara, Norihiko Nishizawa
6. "A novel approach to open “dead space” and modify interfacial features of carbon nanotube assemblies by a microwave shock",Advanced Functional Materials 119(33), e2203437119 (2022)(IF: 19.3), 2022
D. Lin, Y. Zhou, K. Kobashi, G. Chen, D. N. Futaba, K. Hata
5. "Structural Design and Fabrication of Multifunctional Nanocarbon Materials for Extreme Environmental Applications",Advanced Materials (IF: 33), 2022
S. Wu, H. Li, D. N. Futaba, G. Chen, C. Chen, K. Zhou, Q. Zhang, M. Li, Z. Ye, and M. Xu
4. "Multi-step chemical vapor synthesis reactor based on a microplasma for structure-controlled synthesis of nanomaterials",Chemical Engineering Journal (IF: 13), 2022, 444, 136634–136644.
G. Chen, T. Tsuji, J. Kim, H. Sakakita, Y. Shimizu, K. Hata, D.N. Futaba, S. Sakurai
3. "Evaluation of doped potassium concentrations in stacked Two-Layer graphene using Real-time XPS",Applied Surface Science 605, 154748. (2022)
Shuichi Ogawa, Yasutaka Tsuda, Tetsuya Sakamoto, Yuki Okigawa, Tomoaki Masuzawa, Akitaka Yoshigoe, Tadashi Abukawa, Takatoshi Yamada
2. "Large-Scale 1T′-Phase Tungsten Disulfide Atomic Layers Grown by Gas-Source Chemical Vapor Deposition",ACS Nano 16, 13069-13081. (2022)
Mitsuhiro Okada, Jiang Pu, Yung-Chang Lin, Takahiko Endo, Naoya Okada, Wen-Hsin Chang, Anh Khoa Augustin Lu, Takeshi Nakanishi, Tetsuo Shimizu
1. "A Hydrogen-Free Approach for Activating an Fe Catalyst Using Trace Amounts of Noble Metals and Confinement into Nanoparticles",J. Phys. Chem. Lett., 13, 1879-1885. (2022)
Shunsuke Sakurai, Maho Yamada, Jinping He, Kenji Hata, and Don N. Futaba
新聞等報道
25. 日刊工業新聞「SGCNTシート開発」,2022/11/1024. 化学工業日報「グラフェン 微量な添加元素計測 産総研など SPring-8で」,2022/10/17(朝刊3面)
23. 日刊ケミカルニュース「東北大学など グラフェン中のドーピング元素量を計測」,2022/10/12
22. 化学工業日報,「ナノカーボン特集 有力各社の戦略 日本ゼオン SGCNT応用開発進む」,2022/9/27
21. 日刊工業新聞「東北大、グラフェンへの微量添加元素の効果計測 材料評価を高度化」,2022/09/21(24面)
20. 日本経済新聞電子版「東北大・原子力機構・産総研・静岡大、炭素原子膜グラフェンに含まれる微量元素量の計測に成功」,2022/09/16
19. OPTRONICS online「東北大ら,グラフェンのドーパント量の計測に成功」,2022/09/16
18. 日経ものづくり,「実践的マテリアルズ・インフォマティクス」,2022/9/1
17. 日経xTECH,「MIで短期決戦になる材料開発、日本企業は従来の優位性を保てるか」,2022/8/23
16. 日経xTECH,「マテリアルズ・インフォマティクス 天使か悪魔か」,2022/8/23
15. 日刊産業新聞,「複数AIで材料機能予測 NEDOなど、技術を開発」,2022/8/12
14. 化学工業日報,「日本ゼオン 複数AIで機能予測 材料データ処理高度化」,2022/7/15
13. 日刊工業新聞電子版,「AIで複雑材料系の特性予測 日本ゼオンなど技術開発」,2022/7/12
12. 日刊工業新聞,「AIで材料特性予測 日本ゼオンなど技術開発」,2022/7/12
11. 電波新聞,「産総研と日本ゼオンなど 複数のAIで材料の機能予測 材料開発を迅速化する新技術」,2022/7/11
10. 日刊ケミカルニュース,「日本ゼオン 複数のAIで複雑材の機能を予測する技術を開発」,2022/7/8
9. 日刊工業新聞電子版,「産総研、AIで複合材開発効率化 特性予測を大幅短縮」,2022/7/6
8. 日刊工業新聞,「複合材開発 AIで効率化 産総研 特性予測を大幅短縮」,2022/7/6
7. 日刊自動車新聞,「日本ゼオン 複雑材料系の特性を短時間予測」,2022/7/5
6. Motor-Fan,「NEDO: 複数のAIを活用し、複雑な材料データからさまざまな機能を予測する技術を開発」,2022/7/4
5. ゴムタイムス,「日本ゼオン、AI活用で開発 複雑材料データから高精度予測」,2022/7/1
4. Tii技術情報,「複数のAIを活用し、複雑な材料データからさまざまな機能を予測する技術を開発~配合条件の選定から成形加工・評価までの材料開発を大幅に加速~」,2022/6/30
3. 日経産業新聞,「新素材、AIで開発短縮」,2022/5/27
2. 日本経済新聞,「革新材料、AIが性能予測 量子技術も活用」,2022/4/8
1. 日本経済新聞,「素材開発に革新 AIが性能予測、住友化学は時間10分の1」,2022/4/7
連絡先
国立研究開発法人 産業技術総合研究所 ナノカーボンデバイス研究センター
〒305-8565 茨城県つくば市東1-1-1 中央事業所5群
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