Showing 61 - 66 results of 66 for search '"Science and Technology of Advanced Materials: Methods"', query time: 0.13s Refine Results
  1. 61
    Data-driven analysis and visualization of dielectric properties curated from scientific literature

    Data-driven analysis and visualization of dielectric properties curated from scientific literature by Tomoki Murata, Naoto Saito, Eiji Koyama, Ton Nu Thanh Phuong, Ryusuke Misawa, Satoshi Yokomizo, Tomoya Mato, Yu Takada, Sakyo Hirose, Yukari Katsura

    Published 2025-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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  2. 62
    Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion

    Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion by Naoki Yamane, Kan Hatakeyama-Sato, Yuma Iwasaki, Yasuhiko Igarashi

    Published 2024-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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  3. 63
    Rapid, comprehensive search of crystalline phases from X-ray diffraction in seconds via GPU-accelerated Bayesian variational inference

    Rapid, comprehensive search of crystalline phases from X-ray diffraction in seconds via GPU-accelerated Bayesian variational inference by Ryo Murakami, Kenji Nagata, Yoshitaka Matsushita, Masahiko Demura

    Published 2025-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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  4. 64
    NIMS fatigue data sheet on gigacycle fatigue properties of A2017 (Al-4.0Cu-0.6Mg) aluminium alloy

    NIMS fatigue data sheet on gigacycle fatigue properties of A2017 (Al-4.0Cu-0.6Mg) aluminium alloy by Yoshiyuki Furuya, Hideaki Nishikawa, Hisashi Hirukawa

    Published 2024-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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  5. 65
    Multivariate temperature-series analysis of stress-induced ferroelectricity in SrTiO3: a machine learning approach with K-shape clustering and hierarchical Bayesian estimation

    Multivariate temperature-series analysis of stress-induced ferroelectricity in SrTiO3: a machine learning approach with K-shape clustering and hierarchical Bayesian estimation by Hirotaka Manaka, Kensei Toyoda, Yoko Miura

    Published 2024-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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  6. 66
    Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS)

    Configuration sampling in multi-component multi-sublattice systems enabled by ab Initio Configuration Sampling Toolkit (abICS) by Shusuke Kasamatsu, Yuichi Motoyama, Kazuyoshi Yoshimi, Tatsumi Aoyama

    Published 2023-12-01
    “…Science and Technology of Advanced Materials: Methods…”
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