Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Hammal, O. Al"'
We investigate whether a neural network approach can reproduce and predict the electron-nucleus cross sections in the kinematical domain of present and future accelerator-based neutrino oscillation experiments. For this purpose, we consider the large
Externí odkaz:
http://arxiv.org/abs/2305.08217
Publikováno v:
Physical Review E 75, 031105 (2007)
A self-consistent mean-field method is used to study critical wetting transitions under nonequilibrium conditions by analyzing Kardar-Parisi-Zhang (KPZ) interfaces in the presence of a bounding substrate. In the case of positive KPZ nonlinearity a si
Externí odkaz:
http://arxiv.org/abs/cond-mat/0703403