Analysis of ion conduction behavior of Nb- and Zr-doped Li3InCl6-based materials via material simulation por Takeshi Usami, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama

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Universal-neural-network-potential molecular dynamics for lithium metal and garnet-type solid electrolyte interface por Rinon Iwasaki, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama

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Investigation of Effect of Heterovalent Element Doping on Ionic Conductivity in Li3InCl6 System Using Neural-network Potential por Takeshi USAMI, Koichi GOCHO, Naoto TANIBATA, Hayami TAKEDA, Masanobu NAKAYAMA

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Chloride electrode composed of ubiquitous elements for high-energy-density all-solid-state sodium-ion batteries por Naoto Tanibata, Naoki Nonaka, Keisuke Makino, Hayami Takeda, Masanobu Nakayama

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Deep learning based emulator for predicting voltage behaviour in lithium ion batteries por Kanato Oka, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Syuto Noguchi, Masayuki Karasuyama, Yoshiya Fujiwara, Takuhiro Miyuki

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Prediction of Li-ion conductivity in Ca and Si co-doped LiZr2(PO4)3 using a denoising autoencoder for experimental data por Yumika Yokoyama, Shuto Noguchi, Kazuki Ishikawa, Naoto Tanibata, Hayami Takeda, Masanobu Nakayama, Ryo Kobayashi, Masayuki Karasuyama

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