Chioko Kaneta

Scopus著者プロファイル

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年別の研究成果

Pureに変更を加えた場合、すぐここに表示されます。

フィンガープリント

Chioko Kanetaが活動している研究トピックを掘り下げます。このトピックラベルは、この研究者の研究成果に基づきます。これらがまとまってユニークなフィンガープリントを構成します。

1 類似のプロファイル

30 Article
5 Conference contribution
3 Conference article

Influence of sidewall damage on thermal stability in quad-CoFeB/MgO interfaces by micromagnetic simulation
Naganuma, H., Honjo, H., Kaneta, C., Nishioka, K., Ikeda, S. & Endoh, T., 2022 12月 1, In: AIP Advances. 12, 12, 125317.
研究成果: Article › 査読

Open Access
Materials informatics approach for design of Si/Ge layered nanostructures with low thermal conductivity
Takahashi, N., Liu, Y. & Kaneta, C., 2020 5月 1, In: Japanese journal of applied physics. 59, 5, 051005.
研究成果: Article › 査読
Optimization of a Heterogeneous Ternary Li₃PO₄-Li₃BO₃-Li₂SO₄Mixture for Li-Ion Conductivity by Machine Learning
Homma, K., Liu, Y., Sumita, M., Tamura, R., Fushimi, N., Iwata, J., Tsuda, K. & Kaneta, C., 2020 6月 18, In: Journal of Physical Chemistry C. 124, 24, p. 12865-12870 6 p.
研究成果: Article › 査読

Open Access
24 被引用数 (Scopus)
Li-ion conductive Li₃PO₄-Li₃BO₃-Li₂SO₄ mixture: Prevision through density functional molecular dynamics and machine learning
Sumita, M., Tamura, R., Homma, K., Kaneta, C. & Tsuda, K., 2019, In: Bulletin of the Chemical Society of Japan. 92, 6, p. 1100-1106 7 p.
研究成果: Article › 査読

9 被引用数 (Scopus)
Atomistic mechanism of graphene growth on a SiC substrate: Large-scale molecular dynamics simulations based on a new charge-transfer bond-order type potential
Takamoto, S., Yamasaki, T., Nara, J., Ohno, T., Kaneta, C., Hatano, A. & Izumi, S., 2018 3月 9, In: Physical Review B. 97, 12, 125411.
研究成果: Article › 査読
10 被引用数 (Scopus)

金田千穗子

フィンガープリント

ネットワーク

詳細を開く

Influence of sidewall damage on thermal stability in quad-CoFeB/MgO interfaces by micromagnetic simulation

Materials informatics approach for design of Si/Ge layered nanostructures with low thermal conductivity

Optimization of a Heterogeneous Ternary Li₃PO₄-Li₃BO₃-Li₂SO₄Mixture for Li-Ion Conductivity by Machine Learning

Li-ion conductive Li₃PO₄-Li₃BO₃-Li₂SO₄ mixture: Prevision through density functional molecular dynamics and machine learning

Atomistic mechanism of graphene growth on a SiC substrate: Large-scale molecular dynamics simulations based on a new charge-transfer bond-order type potential

金田 千穗子

フィンガープリント

ネットワーク

研究成果

Influence of sidewall damage on thermal stability in quad-CoFeB/MgO interfaces by micromagnetic simulation

Materials informatics approach for design of Si/Ge layered nanostructures with low thermal conductivity

Optimization of a Heterogeneous Ternary Li3PO4-Li3BO3-Li2SO4Mixture for Li-Ion Conductivity by Machine Learning

Li-ion conductive Li3PO4-Li3BO3-Li2SO4 mixture: Prevision through density functional molecular dynamics and machine learning

Atomistic mechanism of graphene growth on a SiC substrate: Large-scale molecular dynamics simulations based on a new charge-transfer bond-order type potential

金田千穗子

Optimization of a Heterogeneous Ternary Li₃PO₄-Li₃BO₃-Li₂SO₄Mixture for Li-Ion Conductivity by Machine Learning

Li-ion conductive Li₃PO₄-Li₃BO₃-Li₂SO₄ mixture: Prevision through density functional molecular dynamics and machine learning