| Category |
Title |
Author |
pp.x-x |
PDF |
| Preface |
@ |
R.Himeno |
p.1 |
 |
| R & Tech. Review |
Turbulence research at large Reynolds numbers using high resolution DNS |
T.Gotoh |
pp.3-6 |
 |
| R & Tech. Review |
Direct numerical simulation of turbulent flow over a compliant surface |
T.Endo and R.Himeno |
pp.7-11 |
 |
| R & Tech. Review |
Transport properties in fully developed turbulent premixed flames |
S.Nishiki, T.Hasegawa, and R.Himeno |
pp.12-17 |
 |
| R & Tech. Review |
Characteristics of unsteady combustion around hypersonic cylindrical projectiles |
A.Matsuo and Y.Kamiyama |
pp.18-23 |
 |
| R & Tech. Review |
Three-dimensional simulations of fluid flow around a curved tube with circular section |
Y.Itoh and R.Himeno |
pp.24-28 |
 |
| R & Tech. Review |
3D parallel flow solver for LV hemodynamics |
B.V.R.Kumar, T.Yamaguchi, H.Liu, and R.Himeno |
pp.29-33 |
 |
| R & Tech. Review |
Numerical simulations of flow and heat transfer by finite element method |
M.Shirazaki and R.Himeno |
pp.34-37 |
 |
| R & Tech. Review |
DFT-GGA Calculation of C2H4 and C2H on Pd(110) |
T.Iitaka, F.Pichierri, T.Ebisuzaki, M.Kawai, and D.M.Bird |
pp.38-42 |
 |
| R & Tech. Review |
Influence of polarization-averaged photon splitting on cyclotron lines in large-scale atmospheres with super-strong magnetic fields |
O.Nishimura |
pp.43-46 |
 |
| R & Tech. Review |
Predictions of chemical reaction pathways and UV absorption maxima of molecules using ab initio MO calculations |
M.Takahashi, K.Sakamoto, and M.Kira |
pp.47-50 |
 |
| R & Tech. Review |
The structure of polyglycine in a solvent free environment: A computational study |
F.Pichierri |
pp.51-52 |
 |
| R & Tech. Review |
Fine structure of the double resonance studied by two-body simulation of Weinberg's eigenvalue |
Y.Matsui |
pp.53-54 |
 |
| R & Tech. Review |
Time-domain simulation of magnetic induction for modeling electrical conductivity anomalies in the Earth's mantle |
F.Tajima |
pp.55-57 |
 |
| R & Tech. Review |
Fast classification of high-dimensional EEG signals using min-max modular neural networks |
B.-L.Lu, J.Shin, and M.Ichikawa |
pp.58-62 |
 |