Publications by authors named "Kensaku Nakamura"
Article Synopsis
- Machine learning is crucial for predicting mechanical properties of polymer materials, which is essential for designing advanced polymers.
- The study introduces a method that utilizes X-ray diffraction (XRD) to analyze higher-order structures of polymers, improving the prediction of their mechanical properties.
- By using Bayesian spectral deconvolution and black-box optimization through Ising machines, the research successfully achieves accurate predictions of seven mechanical properties in polymers, including composite variants.
The effect of thermal annealing on low-temperature excess heat capacity was investigated in fresnoite (Ba2TiSi2O8) glass. The amplitudes of the excess heat capacity decreased, and their positions shifted to a higher temperature by relaxation or crystallization. In particular, we revealed that the change in the excess heat capacity during transition from the glassy state to the crystalline state is relatively small compared with that of other oxides.
View Article and Find Full Text PDFInelastic light scattering has been utilized for examining the structure of glass and its relaxation. However, the quasi-elastic-light-scattering (QLS) phenomenon has not been addressed in much detail. In this study, we observed pronounced QLS-intensity variations in two temperature domains-supercooled liquid (SCL) state (α-relaxation regime) and below the glass-transition temperature (β-relaxation regime)-in niobium-oxide (Nb(2)O(5))-rich glass.
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