Cavitation Damage Prediction in Mercury Target for Pulsed Spallation Neutron Source Using Monte Carlo Simulation von Wakui, Takashi, Takagishi, Yoichi, Futakawa, Masatoshi

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Machine Learning Approaches for Designing Mesoscale Structure of Li-Ion Battery Electrodes von Takagishi, Yoichi, Yamanaka, Takumi, Yamaue, Tatsuya

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Multi-scale Simulations in a Catalytic Reactor Considering Three-dimensional Pellet Geometry von Yoichi Takagishi, Ryohei Baba, Takeshi Yamashita, Wataru Adachi

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Heating simulation of a Li-ion battery cylindrical cell and module with consideration of gas ejection von Takagishi, Yoichi, Tozuka, Yasufumi, Yamanaka, Takumi, Yamaue, Tatsuya

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Application of an Artificial Neural Network to Develop Fracture Toughness Predictor of Ferritic Steels Based on Tensile Test Results von Ishihara, Kenichi, Kitagawa, Hayato, Takagishi, Yoichi, Meshii, Toshiyuki

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Multi-Physics Equivalent Circuit Models for a Cooling System of a Lithium Ion Battery Pack von Yamanaka, Takumi, Kihara, Daiki, Takagishi, Yoichi, Yamaue, Tatsuya

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Mathematical Modeling of Multiple-Li-Dendrite Growth in Li-ion Battery Electrodes von Takagishi, Yoichi, Yamaue, Tatsuya

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Quasi-3D modeling of Li-ion batteries based on single 2D image von Takagishi, Yoichi, Yamanaka, Takumi, Yamaue, Tatsuya

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Study on Cavitation Damage Evolution influenced by Input Power von WAKUI, Takashi, TAKAGISHI, Yoichi, FUTAKAWA, Masatoshi

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Prediction of Li-ion Battery Module Performance under Running Condition Based on "Multifactorial Degradation Model" von Takagishi, Yoichi, Yamaue, Tatsuya

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A Framework for Optimal Safety Li-ion Batteries Design using Physics-Based Models and Machine Learning Approaches von Yamanaka, Takumi, Takagishi, Yoichi, Yamaue, Tatsuya

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An Electrochemical-Thermal Model for Lithium-Ion Battery Packs during Driving of Battery Electric Vehicles von Yamanaka, Takumi, Takagishi, Yoichi, Yamaue, Tatsuya

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Modeling lithium ion battery nail penetration tests and quantitative evaluation of the degree of combustion risk von Yamanaka, Takumi, Takagishi, Yoichi, Tozuka, Yasufumi, Yamaue, Tatsuya

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Battery Degradation Modeling Based on FIB-SEM Image Features Extracted by Deep Neural Network von Takagishi, Yoichi, Yamaue, Tatsuya

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Study on Cavitation Damage Evolution influenced by Input Power von WAKUI, Takashi, TAKAGISHI, Yoichi, FUTAKAWA, Masatoshi

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Modelling of SiOx electrode degradation based on latent variables from 2D-SEM images von Takagishi, Yoichi, Hayashi, Yoshiki, Tsubota, Takayuki, Yamaue, Tatsuya

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Quantitative comparison of the predictions of fracture toughness temperature dependence using ASTM E1921 master curve and stress distribution T-scaling methods von Meshii, Toshiyuki, Yakushi, Goh, Takagishi, Yoichi, Fujimoto, Yohei, Ishihara, Kenichi

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Cavitation Damage Prediction in Mercury Target for Pulsed Spallation Neutron Sources by Monte Carlo Simulation von WAKUI, Takashi, TAKAGISHI, Yoichi, FUTAKAWA, Masatoshi, TANABE, Makoto

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Prediction of Materials for direct NO decomposition reaction by Machine Learning von Ohkawa, Tetsuya, Yamashita, Takeshi, Takagishi, Yoichi

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X-ray Stress Measurement by using cosα Method for Spotty Debye-Scherrer Rings: Improvement of Stress Measurement Accuracy by Adjusting the Diffraction Ring Intensity Distribution von FUJIMOTO, Yohei, NAKAMOTO, Hisashi, TAKAGISHI, Yoichi, SASAKI, Toshihiko

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