29,491 to 29,500 of 33,762 Results
Oct 17, 2023 - Wigner Research Centre for Physics
Rátkai, László; Szállás, Attila; Pusztai, Tamás; Mohri, Tetsuo; Gránásy, László, 2023, "Ternary eutectic dendrites: Pattern formation and scaling properties", https://hdl.handle.net/21.15109/CONCORDA/CJXEB4, ARP, V1
Extending previous work [Pusztai et al., Phys. Rev. E 87, 032401 (2013)], we have studied the formation of eutectic dendrites in a model ternary system within the framework of the phase-field theory. We have mapped out the domain in which two-phase dendritic structures grow. With... |
MATLAB Figure - 24.5 MB -
MD5: 0a3b5c08d9704ac74e5f74b4adf16ebf
MATLAB figure file of Fig 16. (a). Isotropic case, pulling speed: v_p=0.1. |
MATLAB Figure - 30.5 MB -
MD5: 707859dfca6c0b008eda374c2a6aae64
MATLAB figure file of Fig 16. (b). Isotropic case, pulling speed: v_p=0.2. |
MATLAB Figure - 21.3 MB -
MD5: 3d4a0b8ed104246c7a650040936a9f24
MATLAB figure file of Fig 16. (c). Isotropic case at timestep t=1600000. |
MATLAB Figure - 24.0 MB -
MD5: 268c3b1d337bf45b6d63ad029b38e390
MATLAB figure file of Fig 16. (c). Anisotropic case, pulling speed: v_p=0.1. |
MATLAB Figure - 23.9 MB -
MD5: 38daf5021b1605f54a3a77508a263ae3
MATLAB figure file of Fig 16. (d). Isotropic case at timestep t=4000000. |
MATLAB Figure - 27.9 MB -
MD5: cba59a434f4c488cb9698c688b0bbc7a
MATLAB figure file of Fig 16. (d). Anisotropic case, pulling speed: v_p=0.2. |
Oct 17, 2023 - Wigner Research Centre for Physics
Szigeti, Balázs Endre; Barna, Imre Ferenc; Barnaföldi, Gergely Gábor, 2023, "The Formulation of Scaling Expansion in an Euler-Poisson Dark-Fluid Model", https://hdl.handle.net/21.15109/CONCORDA/VJSOOI, ARP, V1
We present a dark fluid model described as a non-viscous, non-relativistic, rotating, and self-gravitating fluid. We assume that the system has spherical symmetry and that the matter can be described by the polytropic equation of state. The induced coupled nonlinear partial diffe... |
Adobe PDF - 23.7 KB -
MD5: d34cd51d7aedeb86ec28b6b5399b7d12
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Mathematica - 19.7 MB -
MD5: 5ecd753ba81e377ddfae8dbb4bdd2f66
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