Recent achievements of NEDO durability project with an emphasis on correlation between cathode overpotential and ohmic loss H Yokokawa, Y Hori, T Shigehisa, M Suzuki, S Inoue, T Suto, K Tomida, ... Fuel Cells 17 (4), 473-497, 2017 | 61 | 2017 |
Achievements of NEDO durability projects on SOFC stacks in the light of physicochemical mechanisms H Yokokawa, M Suzuki, M Yoda, T Suto, K Tomida, K Hiwatashi, ... Fuel Cells 19 (4), 311-339, 2019 | 43 | 2019 |
Application of deep learning to inverse design of phase separation structure in polymer alloy K Hiraide, K Hirayama, K Endo, M Muramatsu Computational Materials Science 190, 110278, 2021 | 41 | 2021 |
Numerical plate testing for linear two‐scale analyses of composite plates with in‐plane periodicity K Terada, N Hirayama, K Yamamoto, M Muramatsu, S Matsubara, S Nishi International Journal for Numerical Methods in Engineering 105 (2), 111-137, 2016 | 39 | 2016 |
Phase-field simulation of static recrystallization considering nucleation from subgrains and nucleus growth with incubation period M Muramatsu, Y Aoyagi, Y Tadano, K Shizawa Computational materials science 87, 112-122, 2014 | 38 | 2014 |
Infrared stress measurements of thermal damage to laser-processed carbon fiber reinforced plastics M Muramatsu, Y Harada, T Suzuki, H Niino Composites Part A: Applied Science and Manufacturing 68, 242-250, 2015 | 28 | 2015 |
Simulation Technology on SOFC Durability With an Emphasis on Conductivity Degradation of ZrO2-Base Electrolyte H Yokokawa, H Kishimoto, T Shimonosono, K Yamaji, M Muramatsu, ... Journal of Electrochemical Energy Conversion and Storage 14 (1), 011004, 2017 | 25 | 2017 |
Characterization of time-varying macroscopic electro-chemo-mechanical behavior of SOFC subjected to Ni-sintering in cermet microstructures M Muramatsu, K Terada, T Kawada, K Yashiro, K Takahashi, S Takase Computational Mechanics 56, 653-676, 2015 | 23 | 2015 |
Influence of strength and notch shape on crack initiation and propagation behavior of advanced high strength steel sheets M Omiya, S Arakawa, Z Yao, M Muramatsu, S Nishi, K Takada, M Murata, ... Engineering Fracture Mechanics 271, 108573, 2022 | 20 | 2022 |
Development of multi-phase-field crack model for crack propagation in polycrystal K Oshima, T Takaki, M Muramatsu International Journal of Computational Materials Science and Engineering 3 …, 2014 | 17 | 2014 |
Shape deformation analysis of anode-supported solid oxide fuel cell by electro-chemo-mechanical simulation M Muramatsu, M Sato, K Terada, S Watanabe, K Yashiro, T Kawada, ... Solid State Ionics 319, 194-202, 2018 | 16 | 2018 |
A phase-field model by an Ising machine and its application to the phase-separation structure of a diblock polymer K Endo, Y Matsuda, S Tanaka, M Muramatsu Scientific reports 12 (1), 10794, 2022 | 14 | 2022 |
Laser cutting of carbon fiber reinforced thermo-plastic (CFRTP) by IR laser irradiation H Niino, Y Kawaguchi, T Sato, A Narazaki, R Kurosaki, M Muramatsu, ... Journal of Laser Micro Nanoengineering 9 (2), 180, 2014 | 14 | 2014 |
Characterization of defects in carbon fiber-reinforced plastics by inverse heat conduction analysis using transfer matrix between layers M Muramatsu, S Nakasumi, Y Harada Advanced Composite Materials 25 (6), 541-555, 2016 | 13 | 2016 |
Laser cutting of carbon fiber reinforced plastics (CFRP) by 1kW cw fiber laser irradiation H Niino, Y Kawaguchi, T Sato, A Narazaki, R Kurosaki, M Muramatsu, ... Laser Applications in Microelectronic and Optoelectronic Manufacturing …, 2013 | 13 | 2013 |
Numerical simulations of non-stationary distributions of electrochemical potentials in SOFC M Muramatsu, K Yashiro, T Kawada, K Tarada Engineering Computations 34 (6), 1956-1988, 2017 | 12 | 2017 |
Simulation of ferroelastic phase formation using phase-field model M Muramatsu, K Yashiro, T Kawada, K Terada International Journal of Mechanical Sciences 146, 462-474, 2018 | 10 | 2018 |
Effects of microstructure on material properties of modified 9Cr-1Mo steel subject to creep-fatigue M Muramatsu, T Suzuki, Y Nakasone Journal of Mechanical Science and Technology 29, 121-129, 2015 | 8 | 2015 |
A finite element-based physics-informed operator learning framework for spatiotemporal partial differential equations on arbitrary domains Y Yamazaki, A Harandi, M Muramatsu, A Viardin, M Apel, T Brepols, ... Engineering with Computers, 1-29, 2024 | 7 | 2024 |
Inverse estimation method for internal defects based on surface stress of carbon-fiber-reinforced plastics using machine learning Y Kojima, K Hirayama, K Endo, K Hiraide, M Muramatsu Advanced Composite Materials 31 (6), 617-629, 2022 | 7 | 2022 |