First-principles prediction of high oxygen-ion conductivity in trilanthanide gallates Ln3GaO6 by Joohwi Lee, Nobuko Ohba, Ryoji Asahi

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Machine learning and atomistic origin of high dielectric permittivity in oxides by Yuho Shimano, Alex Kutana, Ryoji Asahi

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Permittivity boosting by induced strain from local doping in titanates from first principles by Alex Kutana, Yuho Shimano, Ryoji Asahi

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Automatic knowledge acquisition from superconductivity information in literature by Kento Mitsui, Yutaka Sasaki, Ryoji Asahi

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A Universal 3D Voxel Descriptor for Solid-State Material Informatics with Deep Convolutional Neural Networks by Seiji Kajita, Nobuko Ohba, Ryosuke Jinnouchi, Ryoji Asahi

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Identifying superionic conductors by materials informatics and high-throughput synthesis by Masato Matsubara, Akitoshi Suzumura, Nobuko Ohba, Ryoji Asahi

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