武田はやみ (Hayami Takeda) - マイポータル

基本情報

所属: 名古屋工業大学工学部生命・物質工学科

学位: 博士（工学）(2014年6月名古屋工業大学大学院 )

研究者番号: 70599000
J-GLOBAL ID: 202401012997330157
researchmap会員ID: R000070876

研究分野

ナノテク・材料 / 無機材料、物性 /

経歴

2019年7月 - 現在

名古屋工業大学 (特任教員)

受賞

2017年11月

名古屋工業大学女性研究者表彰「女性が拓く工学の未来賞」平成29年度優秀賞, 名古屋工業大学

論文

Anomaly-Detection-Driven Screening of Thermodynamic Stability from Composition Descriptors Alone

Keisuke Makino, Yudai Yamaguchi, Naoto Tanibata, Hayami Takeda, Ryo Kobayashi, Masayuki Karasuyama, Masanobu Nakayama

The Journal of Physical Chemistry Letters 2026年2月9日
High‐Throughput Screening and Characterization of Non‐Flammable Na‐Cl Solid Electrolytes

Naoto Tanibata, Naoki Nonaka, Daisuke Urushihara, Hayami Takeda, Ryo Kobayashi, Naoaki Kuwata, Masanobu Nakayama

Advanced Electronic Materials 12(4) 2026年1月21日
Zn-Assisted Mg Ion Transport in Spinel Oxide Cathodes: Insights From Neural Network Simulations

Riku Nakahara, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Kohei Shimokawa, Tetsu Ichitsubo

CHEMISTRY-AN ASIAN JOURNAL 21(2) 2026年1月
Deep learning based SEM image analysis for predicting ionic conductivity in LiZr ₂ (PO ₄ ) ₃ -based solid electrolytes

Kento Murakami, Yudai Yamaguchi, Yo Kato, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Masayuki Karasuyama

Digital Discovery 2026年
Lithium and oxygen dimer diffusion in solid-state oxygen-redox cathode materials: insights from neural network molecular dynamics

Takuhiro Sasadaira, Naoto Tanibata, Hayami Takeda, Naoaki Yabuuchi, Masanobu Nakayama

Science and Technology of Advanced Materials: Methods 2025年12月18日
Property Optimization of Mn–Ni–Al Oxide Thermistors via an Integrated Framework of Efficient Composition Exploration and Image Analysis

Yo Kato, Keisuke Makino, Shogo Hashimura, Nozomi Arakawa, Hayami Takeda, Naoto Tanibata, Masanobu Nakayama, Naohiro Niizeki, Takayuki Nakaya

Advanced Materials Interfaces 2025年11月23日
Causal Relationship between Potential Shift and Molecular Structure in Concentrated Electrolytes

Yumika Yokoyama, Kou Nakamura, Naoto Tanibata, Hayami Takeda, Masayuki Karasuyama, Ryo Kobayashi, Norio Takenaka, Atsuo Yamada, Masanobu Nakayama

The Journal of Physical Chemistry B 129(48) 12493-12502 2025年11月19日
Redox‐Level Design for High‐Energy‐Density Chloride Electrodes

Naoto Tanibata, Shin Aizu, Takuhiro Sasadaira, Hayami Takeda, Masanobu Nakayama

Advanced Energy Materials 2025年9月18日
Enhancing Na ion conductivity of Na chloride cathode material NaFeCl ₄ through polyatomic anion substitution

Keisuke Makino, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama

Journal of Asian Ceramic Societies 13(3) 254-258 2025年7月3日
Experimental data-driven efficient exploration of the composition and process conditions of Li-rich NASICON-type solid electrolytes

Hayami Takeda, Kento Murakami, Yudai Yamaguchi, Hiroko Fukuda, Naoto Tanibata, Masanobu Nakayama, Takaaki Natori, Yasuharu Ono, Naohiko Saito

Next Materials 8 100574-100574 2025年7月査読有り招待有り筆頭著者責任著者
Transition‐Metal Dependence of Anion Redox Reversibility in Amorphous Electrodes

Naoto Tanibata, Suzuno Akatsuka, Misato Koga, Yumika Yokoyama, Hayami Takeda, Masanobu Nakayama

ChemElectroChem 12(8) 2025年3月26日
Causal Analysis of Factors for Li Ionic Conductivity in Olivine-Type LiMXO₄ Materials Using LiNGAM

Koichi Gocho, Masato Hamaie, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Masayuki Karasuyama, Ryo Kobayashi

The Journal of Physical Chemistry C 2025年1月7日査読有り
Multicomponentization of a super-Na ionic conductor chloride NaTaCl₆, enhancing ionic conductivity and electronic resistivity

Keisuke Makino, Naoto Tanibata, Takaaki Natori, Tomoko Nakano, Hayami Takeda, Masanobu Nakayama

Journal of Materials Chemistry A 13(28) 22924-22930 2025年
Efficient Optimization of Atom/Ion Arrangements in Crystalline Solids Using Genetic Algorithms and Machine-Learning Regression

Tsubasa Koyama, Yumika Yokoyama, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama

Journal of the Ceramic Society of Japan 2025年査読有り
Fast Anion Redox by Amorphization in Sodium-Ion Batteries

Naoto Tanibata, Sayaka Kondo, Suzuno Akatsuka, Hayami Takeda, Masanobu Nakayama

Chemistry of Materials 37(1) 303-312 2024年12月27日査読有り
Deep learning based emulator for predicting voltage behaviour in lithium ion batteries

Kanato Oka, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Syuto Noguchi, Masayuki Karasuyama, Yoshiya Fujiwara, Takuhiro Miyuki

Scientific Reports 14(1) 2024年11月21日査読有り
Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data

Yumika Yokoyama, Shuto Noguchi, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Ryo Kobayashi, Masayuki Karasuyama

APL Materials 12(11) 2024年11月1日査読有り
Investigation of Effect of Heterovalent Element Doping on Ionic Conductivity in Li<sub>3</sub>InCl<sub>6</sub> System Using Neural-network Potential

Takeshi USAMI, Koichi GOCHO, Naoto TANIBATA, Hayami TAKEDA, Masanobu NAKAYAMA

Electrochemistry 92(11) 117001-117001 2024年11月1日査読有り
Computational studies on Mg ion conductivity in Mg2xHf1-x Nb(PO4)3 using neural network potential

Keisuke Makino, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama

Journal of Solid State Electrochemistry 2024年4月4日査読有り
Chloride electrode composed of ubiquitous elements for high-energy-density all-solid-state sodium-ion batteries

Naoto Tanibata, Naoki Nonaka, Keisuke Makino, Hayami Takeda, Masanobu Nakayama

Scientific Reports 14(1) 2024年2月1日査読有り