Katsumi Hagita
National Defense Academy of Japan
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Publication
Featured researches published by Katsumi Hagita.
Journal of the Physical Society of Japan | 2015
Nobuyuki Iwaoka; Katsumi Hagita; Hiroshi Takano
A framework for estimating the linear relaxation modulus of polymer melts by molecular dynamics (MD) simulations is presented on the basis of relaxation mode analysis (RMA). Conventional calculations of the relaxation modulus based on the Green–Kubo formula are computationally very expensive owing to long relaxation times and poor convergence of stress autocorrelation functions: In practice, reliable calculations usually require a time average over (mathcal{O}(10tau _{1}{text{--}}100tau _{1})), where τ1 is the longest relaxation time of a chain in the melt. RMA is a method that systematically extracts relaxation modes and rates of a polymer chain from the time correlation functions of coordinates of polymer segments. In the present method, the relaxation modulus is evaluated by fitting the data of the stress autocorrelation functions to the generalized Maxwell model whose relaxation times are determined from the relaxation rate spectrum obtained by RMA. It is demonstrated that the stress relaxation ...
Journal of the Physical Society of Japan | 2017
Katsumi Hagita; Takahiro Murashima; Hiroshi Takano; Toshihiro Kawakatsu
We proposed a thinning approximation (TA) for estimation of the two-dimensional (2D) wide-angle scattering patterns from Kremer–Grest polymer melts under shear. In the TA, extra particles are inserted at the middle of bonds for fine-graining of the coarse-grained polymers. For the case without the TA, spots corresponding to the orientation of bonds at a high shear rate are difficult to observe because the bond length of successive particles is comparable to the distance between neighboring particles. With the insertion of the extra particles, a ring pattern originating from the neighboring particles can be moved to a wide-angle region. Thus, we can observe the spots at high shear rates. We also examined the relationship between 2D scattering patterns and the Weissenberg number, which is defined as the product of the shear rate and the longest relaxation time. It is confirmed that the relationship for coarse-grained polymers with the TA is consistent with that of the all-atomistic model of polyethylene.
Journal of the Physical Society of Japan | 2018
Katsumi Hagita; Tetsuo Tominaga; Takumi Hatazoe; Takuo Sone; Hiroshi Takano
We proposed a filler network toy (FN-toy) model in order to approximately forecast changes in two-dimensional scattering patterns (2DSPs) of nanoparticles (NPs) in crosslinked polymer networks in ultrasmall-angle X-ray scattering (USAXS) experiments under uniaxial elongation. It enables us to estimate the system size dependence of the 2DSP of the NPs. In the FN-toy model, we considered NPs connected by harmonic springs with excluded-volume interactions among the NPs. In this study, we used the NP configurations estimated by reverse Monte Carlo (RMC) analysis for USAXS data observed in SPring-8 experiments on filler-filled styrene butadiene rubber (SBR). In the FN-toy model, we set a bond between every pair of NPs whose distance is less than Cd, where d is the diameter of an NP and C is a parameter that characterizes network properties. We determined the optimal value of C by comparison with 2DSPs of the NPs at 200% elongation for end-modified and unmodified SBR. These 2DSPs are obtained from the results o...
Macromolecules | 2016
Katsumi Hagita; Hiroshi Morita; Masao Doi; Hiroshi Takano
Polymer | 2017
Yasuyuki Shudo; Atsushi Izumi; Katsumi Hagita; Toshio Nakao; Mitsuhiro Shibayama
Polymer | 2016
Yasuyuki Shudo; Atsushi Izumi; Katsumi Hagita; Toshio Nakao; Mitsuhiro Shibayama
Journal of the Imaging Society of Japan | 2015
Katsumi Hagita
Macromolecular Theory and Simulations | 2018
Atsushi Izumi; Yasuyuki Shudo; Katsumi Hagita; Mitsuhiro Shibayama
International polymer science and technology | 2016
Katsumi Hagita; Tetsuo Tominaga; Takumi Hatazoe; Takuo Sone; Hiroshi Morita; Hiroshi Takano
arXiv: Soft Condensed Matter | 2018
Takahiro Murashima; Katsumi Hagita; Toshihiro Kawakatsu
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National Institute of Advanced Industrial Science and Technology
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