Search Results - "Demura, Masahiko"

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  1. 1

    Challenges in Materials Integration by Demura, Masahiko

    Published in ISIJ International (15-02-2024)
    “…Materials Integration is the concept of accelerating materials development by linking processing, structure, property, and performance (PSPP) on a computer…”
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    Journal Article
  2. 2

    Materials Integration for Accelerating Research and Development of Structural Materials by Demura, Masahiko

    Published in MATERIALS TRANSACTIONS (01-11-2021)
    “…This paper provides a current research trend for “Materials Integration”, which is a concept to accelerate research and development of structural materials by…”
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    Journal Article
  3. 3

    Challenges in Materials Integration by Demura, Masahiko

    Published in Tetsu-to-Hagane (01-06-2023)
    “…Materials Integration is the concept of accelerating materials development by linking processing, structure, property, and performance (PSPP) on a computer…”
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    Journal Article
  4. 4

    Challenges in Materials Integration by Demura, Masahiko

    Published in Tetsu-to-Hagane (2023)
    “…Materials Integration is the concept of accelerating materials development by linking processing, structure, property, and performance (PSPP) on a computer…”
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    Journal Article
  5. 5

    SIP-Materials Integration Projects by Demura, Masahiko, Koseki, Toshihiko

    Published in MATERIALS TRANSACTIONS (01-11-2020)
    “…Materials play key roles to solve social problems. In order to accelerate materials research and development, it is crucial to use the power of cyberspace…”
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    Journal Article
  6. 6

    Generation of highly realistic microstructural images of alloys from limited data with a style-based generative adversarial network by Lambard, Guillaume, Yamazaki, Kazuhiko, Demura, Masahiko

    Published in Scientific reports (11-01-2023)
    “…In materials science, the amount of observational data is often limited by operating protocols that require a high level of expertise, often machine-dependent,…”
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    Journal Article
  7. 7

    Detection and location of microdefects during selective laser melting by wireless acoustic emission measurement by Ito, Kaita, Kusano, Masahiro, Demura, Masahiko, Watanabe, Makoto

    Published in Additive manufacturing (01-04-2021)
    “…Microdefects sometimes form in workpieces fabricated by selective laser melting (SLM). It is difficult to understand the mechanism of generation of…”
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    Journal Article
  8. 8

    Creep Life Predictions by Machine Learning Methods for Ferritic Heat Resistant Steels by Sakurai, Junya, Demura, Masahiko, Inoue, Junya, Yamazaki, Masayoshi

    Published in ISIJ International (15-10-2023)
    “…We have attempted to predict creep rupture time for a wide range of ferritic heat resistant steels with machine learning methods using the NIMS Creep Data…”
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    Journal Article
  9. 9

    Study of analysis method to predict creep life of 2.25Cr-1Mo steel from welding conditions by Abe, Daisuke, Torigata, Keisuke, Izuno, Hitoshi, Demura, Masahiko

    Published in Welding in the world (01-05-2024)
    “…The creep rupture life of weld joints decreases to values from half to one-tenth of that of the base metal in Cr–Mo heat-resistant steels. It is industrially…”
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    Journal Article
  10. 10

    A universal Bayesian inference framework for complicated creep constitutive equations by Mototake, Yoh-ichi, Izuno, Hitoshi, Nagata, Kenji, Demura, Masahiko, Okada, Masato

    Published in Scientific reports (26-06-2020)
    “…Evaluating the creep deformation process of heat-resistant steels is important for improving the energy efficiency of power plants by increasing the operating…”
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    Journal Article
  11. 11

    Crystal plasticity simulations with representative volume element of as-build laser powder bed fusion materials by Bulgarevich, Dmitry S., Nomoto, Sukeharu, Watanabe, Makoto, Demura, Masahiko

    Published in Scientific reports (21-11-2023)
    “…Additive manufacturing of as-build metal materials with laser powder bed fusion typically leads to the formations of various chemical phases and their…”
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    Journal Article
  12. 12

    Catalytic properties of Ni-Fe-Mg alloy nanoparticle catalysts for methanol decomposition by Mitani, Haruka, Xu, Ya, Hirano, Toshiyuki, Demura, Masahiko, Tamura, Ryuji

    Published in Catalysis today (01-03-2017)
    “…[Display omitted] •Ni-15Fe-13Mg nanoparticles showed much less carbon deposition in methanol decomposition than Ni-25Fe nanoparticles.•The sample including Mg…”
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    Journal Article
  13. 13

    Enhanced catalytic activity of Ni3Al foils towards methane steam reforming by water vapor and hydrogen pretreatments by Xu, Ya, Ma, Yan, Demura, Masahiko, Hirano, Toshiyuki

    Published in International journal of hydrogen energy (18-05-2016)
    “…A pretreatment procedure consisting of water vapor oxidation followed by H2 reduction has been developed for enhancing the catalytic activity of as-rolled…”
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    Journal Article
  14. 14

    Automatic steel labeling on certain microstructural constituents with image processing and machine learning tools by Bulgarevich, Dmitry S., Tsukamoto, Susumu, Kasuya, Tadashi, Demura, Masahiko, Watanabe, Makoto

    “…It is demonstrated that optical microscopy images of steel materials could be effectively categorized into classes on preset ferrite/pearlite-,…”
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  15. 15
  16. 16

    Prediction of Creep Rupture Time Using Constitutive Laws and Damage Rules in 9Cr–1Mo–V–Nb Steel Welds by Koiwa, Kozo, Tabuchi, Masaaki, Demura, Masahiko, Yamazaki, Masayoshi, Watanabe, Makoto

    Published in MATERIALS TRANSACTIONS (01-01-2019)
    “…Long-term creep tests for the parent metal, a simulated heat-affected zone (HAZ) and a weld joint were conducted based on 9Cr–1Mo–V–Nb steel. The creep rupture…”
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    Journal Article
  17. 17

    Artificial intelligence inspired design of non-isothermal aging for γ–γ′ two-phase, Ni–Al alloys by Nandal, Vickey, Dieb, Sae, Bulgarevich, Dmitry S., Osada, Toshio, Koyama, Toshiyuki, Minamoto, Satoshi, Demura, Masahiko

    Published in Scientific reports (04-08-2023)
    “…In this paper, a state-of-the-art Artificial Intelligence (AI) technique is used for a precipitation hardening of Ni-based alloy to predict more flexible…”
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    Journal Article
  18. 18

    Damage Model Determination for Predicting Creep Rupture Time of 2 1/4Cr–1Mo Steel Weld Joints by Izuno, Hitoshi, Demura, Masahiko, Yamazaki, Masayoshi, Tabuchi, Masaaki, Abe, Daisuke, Torigata, Keisuke

    Published in MATERIALS TRANSACTIONS (01-07-2021)
    “…In a creep damage analysis for a weld joint (WJ) using a damage model, it is important to select a damage model that properly reflects complex conditions of…”
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    Journal Article
  19. 19

    Catalytic properties of pure Ni honeycomb catalysts for methane steam reforming by Hiramitsu, Yusuke, Demura, Masahiko, Xu, Ya, Yoshida, Masanari, Hirano, Toshiyuki

    Published in Applied catalysis. A, General (25-10-2015)
    “…[Display omitted] •Honeycomb catalysts were assembled using only pure Ni foils for hydrogen production via methane steam reforming.•A high cell density (900…”
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  20. 20

    Virtual heat treatment for γ-γ′ two-phase Ni-Al alloy on the materials Integration system, MInt by Osada, Toshio, Koyama, Toshiyuki, Bulgarevich, Dmitry S., Minamoto, Satoshi, Osawa, Makoto, Watanabe, Makoto, Kawagishi, Kyoko, Demura, Masahiko

    Published in Materials & design (01-02-2023)
    “…[Display omitted] •A novel computational workflow implemented on the Materials Integration system (MInt) for virtual heat treatment for Ni-Al alloy was…”
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