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RESEARCH PAPER · Communications Materials · 2020

Identifying superionic conductors by materials informatics and high-throughput synthesis

Masato Matsubara, Akitoshi Suzumura, Nobuko Ohba, Ryoji Asahi

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28 direct citing papers in this saved network. Explore the next layer with second-order citations.

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42 direct citing works

Identifying superionic conductors by materials informatics and high-throughput synthesisOriginalOn-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations204Accelerated discovery of stable spinels in energy systems via machine learning56Synthesis and ion transport properties of RE3GaO6 (RE = rare earth) oxide ion conductors8Roadmap on inorganic perovskites for energy applications86Generative Models for Extrapolation Prediction in Materials Informatics24Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries58Building a Library for Catalysts Research Using High‐Throughput Approaches45Synthesis and Ion-Transport Properties of EuKGe2O6-, Ca3Fe2Ge3O12-, and BaCu2Ge2O7-Type Oxide-Ion Conductors3High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications107Training data augmentation using generative models with statistical guarantees for materials informatics8High-entropy alloy catalysts: high-throughput and machine learning-driven design59Structure–property correlation in oxide-ion and proton conductors for clean energy applications: recent experimental and computational advancements63A review of the recent progress in battery informatics178High-throughput and machine-learning accelerated design of high entropy alloy catalysts26Recent advances and challenges in experiment-oriented polymer informatics42Challenges for fluoride superionic conductors: fundamentals, design, and applications22Oxide Ion-Conducting Materials Containing Tetrahedral Moieties: Structures and Conduction Mechanisms94Properties and Mechanisms of Solid-Polymer Electrolytes with Asymmetric Salts0Uncovering fast solid-acid proton conductors based on dynamics of polyanion groups and proton bonding strength28Vibrational spectroscopy of dynamic interactions and relaxation processes in ionic systems3Function-oriented design principles for adsorbent materials of uranium extraction from seawater24The artificial intelligence-catalyst pipeline: accelerating catalyst innovation from laboratory to industry6Cutting‐Edge Developments at the Interface of Inorganic Solid‐State Electrolytes38High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning3The Raman Spectrum and High Lattice Thermal Conductivity of Ternary Layered Boride Cr3AlB40High-throughput ceramics processing method using cellulose nanofiber dispersions for rapid materials exploration0Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO 2 Conversion3Combinatorial Engineering of Supramolecular Waterborne Polyurethanes for Tough and Functionally Integrated Elastomer Systems0

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28 direct citing papers saved.

  1. On-the-Fly Active Learning of Interatomic Potentials for Large-Scale Atomistic Simulations

    The Journal of Physical Chemistry Letters · 2020-07-31

    Ryosuke Jinnouchi, Kazutoshi Miwa, Ferenc Karsai, Georg Kresse, Ryoji Asahi

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  2. Accelerated discovery of stable spinels in energy systems via machine learning

    Nano Energy · 2020-12-08

    Zhilong Wang, Haikuo Zhang, Jinjin Li

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  3. Synthesis and ion transport properties of RE3GaO6 (RE = rare earth) oxide ion conductors

    Journal of the European Ceramic Society · 2021-02-26

    Shin Tajima, Joohwi Lee, Akitoshi Suzumura, Nobuko Ohba

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  4. Roadmap on inorganic perovskites for energy applications

    Journal of Physics Energy · 2021-05-08

    John T. S. Irvine, Jennifer L. M. Rupp, Gang Yu Liu, Xiaoxiang Xu, Sossina Mariam Haile, Xin Qian, Alem Snyder, Robert Freer, Dursun Ekren, Stephen J. Skinner, Ӧzden Çelikbilek, Shigang Chen, Shanwen Tao, Tae Ho Shin, Ryan O’Hayre, Jake Huang, Chuancheng Duan, Meagan C. Papac, Shuangbin Li, Verónica Celorrio, Andrea E. Russell, Brian E. Hayden, Hugo Nolan, Xiubing Huang, Ge Wang, Ian S. Metcalfe, Dragos Neagu, Susana García‐Martín

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  5. Generative Models for Extrapolation Prediction in Materials Informatics

    ACS Omega · 2021-05-25

    Kan Hatakeyama‐Sato, Kenichi Oyaizu

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  6. Phase–Property Diagrams for Multicomponent Oxide Systems toward Materials Libraries

    Advanced Materials · 2021-09-12

    Leonardo Velasco, Juan S. Castillo, Mohana Veerraju Kante, Jhon Jairo Olaya, Pascal Friederich, Horst Hahn

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  7. Building a Library for Catalysts Research Using High‐Throughput Approaches

    Advanced Functional Materials · 2021-09-23

    Xiaorui Liu, Bin Liu, Jia Ding, Yida Deng, Xiaopeng Han, Cheng Ming Zhong, Wenbin Hu

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  8. Synthesis and Ion-Transport Properties of EuKGe2O6-, Ca3Fe2Ge3O12-, and BaCu2Ge2O7-Type Oxide-Ion Conductors

    Inorganic Chemistry · 2021-10-26

    Shin Tajima, Nobuko Ohba, Akitoshi Suzumura, Seiji Kajita

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  9. High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications

    Advanced Energy Materials · 2021-10-31

    Qingsong Wang, Leonardo Velasco, Ben Breitung, Volker Presser

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  10. Training data augmentation using generative models with statistical guarantees for materials informatics

    Soft Computing · 2021-12-01

    Hiroshi Ohno

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  11. High-entropy alloy catalysts: high-throughput and machine learning-driven design

    Journal of Materials Informatics · 2022-01-01

    Lixin Chen, Zhiwen Chen, Xue Yao, Baoxian Su, Weijian Chen, Xin Pang, Keun-Su Kim, Chandra Veer Singh, Yu Zou

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  12. Structure–property correlation in oxide-ion and proton conductors for clean energy applications: recent experimental and computational advancements

    Journal of Materials Chemistry A · 2022-01-01

    Mauro Coduri, Maths Karlsson, Lorenzo Malavasi

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  13. A review of the recent progress in battery informatics

    npj Computational Materials · 2022-02-18

    Chen Ling

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  14. High-throughput and machine-learning accelerated design of high entropy alloy catalysts

    Trends in Chemistry · 2022-04-22

    Zhiwen Chen, Lixin Chen, Zachary Gariepy, Xue Yao, Chandra Veer Singh

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  15. Recent advances and challenges in experiment-oriented polymer informatics

    Polymer Journal · 2022-12-02

    Kan Hatakeyama‐Sato

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  16. Challenges for fluoride superionic conductors: fundamentals, design, and applications

    Journal of Physics Condensed Matter · 2023-04-06

    Tsuyoshi Takami, Chanachai Pattanathummasid, Alex Kutana, Ryoji Asahi

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  17. Oxide Ion-Conducting Materials Containing Tetrahedral Moieties: Structures and Conduction Mechanisms

    Chemical Reviews · 2023-07-24

    Xiaoyan Yang, Alberto José Fernández-Carrión, Xiaojun Kuang

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  18. Properties and Mechanisms of Solid-Polymer Electrolytes with Asymmetric Salts

    ˜The œMaterials Research Society series · 2024-01-01

    Kan Hatakeyama‐Sato

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  19. Uncovering fast solid-acid proton conductors based on dynamics of polyanion groups and proton bonding strength

    Energy & Environmental Science · 2024-01-01

    Pjotrs Žguns, Konstantin Klyukin, Louis S. Wang, Grace Xiong, Ju Li, Sossina Mariam Haile, Bilge Yildiz

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  20. Vibrational spectroscopy of dynamic interactions and relaxation processes in ionic systems

    Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy · 2024-07-17

    М. М. Гафуров, Kamil Sh. Rabadanov

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  21. Function-oriented design principles for adsorbent materials of uranium extraction from seawater

    Chemical Engineering Journal · 2024-10-16

    Shaoqing Liu, Binbin Tao, Zuo Bin, Kaidan Zheng, Walid Abdelfattah, Jinyang Bao, Guoze Yan, Tao Wang, Ruoyu Wang, Zhengtong Li, Saad Melhi, Wafa A. Alshahrani, Xingtao Xu

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  22. The artificial intelligence-catalyst pipeline: accelerating catalyst innovation from laboratory to industry

    Frontiers of Chemical Science and Engineering · 2025-05-16

    Aoming Li, Peng Cui, Xu Wang, Adrian C. Fisher, Lanyu Li, Daojian Cheng

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  23. Cutting‐Edge Developments at the Interface of Inorganic Solid‐State Electrolytes

    Advanced Materials · 2025-07-10

    Yi Wang Chen, Ji Qian, Ke Wang, Li Li, Feng Wu, Renjie Chen

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  24. High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning

    npj Computational Materials · 2025-09-03

    Ryo Toyama, Yuma Iwasaki, Prabhanjan Dilip Kulkarni, Hirofumi Suto, Tomoya M. Nakatani, Yuya Sakuraba

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  25. The Raman Spectrum and High Lattice Thermal Conductivity of Ternary Layered Boride Cr3AlB4

    Acta Physica Polonica A · 2025-12-02

    Shanmin Wang, B. Liu, Jin-Fan Song

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  26. High-throughput ceramics processing method using cellulose nanofiber dispersions for rapid materials exploration

    Journal of Materials Chemistry C · 2026-01-01

    Sou Yasuhara, Yosuke Sugita, Masaki Tozuka, Takuya Hoshina

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  27. Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO 2 Conversion

    Advanced Intelligent Discovery · 2026-02-22

    Paul Rossener Regonia, Christian Mark Pelicano

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  28. Combinatorial Engineering of Supramolecular Waterborne Polyurethanes for Tough and Functionally Integrated Elastomer Systems

    Macromolecules · 2026-06-26

    Xingxue Zhang, Yu Tan, Kaiqiang Zhang, Kaiyang Hou, Xia Xin, Nan Sun, Xu Wang

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