Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Bence Gajdics"'
Publikováno v:
World Congress on Civil, Structural, and Environmental Engineering.
Publikováno v:
Physical chemistry chemical physics : PCCP. 23(10)
Determining binary phase diagrams for nanoparticles proves to be a very difficult task regardless if it is tried either by computer simulations, theoretical considerations or experiments. In this work, using 3D Object Stochastic Kinetic Modelling Fra
Publikováno v:
Defect and Diffusion Forum. 383:89-95
For revealing internal atomic processes in bimetallic nanoparticles, individual hemispherical Ag-Cu alloy particles were grown by direct current (DC) magnetron sputtering. Phase separation of particles was found to be size- and composition-dependent.
Publikováno v:
Computer Physics Communications. 258:107609
We present an effective computer simulation method, called 3D object stochastic kinetic modelling framework (3DO-SKMF), to calculate atomic movements in 3D objects including surface segregation and Gibbs–Thomson effect (surface curvature). Objects
Publikováno v:
Defect and Diffusion Forum. 369:36-41
In binary systems Kirkendall shift is a well-known phenomenon. We investigated nanoscale diffusion in the framework of a recently published continuum model [Erdélyi and Schmitz, Acta. Mater. 60 (2012) 1807]. In thin films the usual vacancy creation
Autor:
Bence Gajdics, M. O. Pasichnyy, János J. Tomán, Zoltán Erdélyi, V. M. Bezpalchuk, Andriy Gusak
Publikováno v:
Computer Physics Communications. 204:31-37
This paper introduces a new model for calculating the change in time of three-dimensional atomic configurations. The model is based on the kinetic mean field (KMF) approach, however we have transformed that model into a stochastic approach by introdu
Publikováno v:
Calphad. 67:101665
We report results for spinodal decomposition in Ag-Cu binary system. The asymmetric miscibility gap of any binary system necessarily means that the gradient energy coefficient κ is composition dependent. We demonstrate that while this composition de
Publikováno v:
Journal of Applied Physics
Journal of Applied Physics, American Institute of Physics, 2019, 126 (6), pp.065106. ⟨10.1063/1.5099676⟩
Journal of Applied Physics, 2019, 126 (6), pp.065106. ⟨10.1063/1.5099676⟩
Journal of Applied Physics, American Institute of Physics, 2019, 126 (6), pp.065106. ⟨10.1063/1.5099676⟩
Journal of Applied Physics, 2019, 126 (6), pp.065106. ⟨10.1063/1.5099676⟩
We report a quantitative multiscale (MS) procedure based on the recently developed Stochastic Kinetic Mean Field approach (SKMF) [Erdelyi, M. Pasichnyy, V. Bezpalchuk, J. J. Toman, B. Gajdics, and A. M. Gusak, Comput. Phys. Commun. 204, 31–37 (2016