Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Mahmoud Y. El-Bakry"'
Publikováno v:
JOURNAL OF ADVANCES IN PHYSICS. 17:306-321
In this research, the artificial neural network (ANN) and resilient back propagation (R-prop) training algorithm are utilized to model the photovoltaic properties of Nickel–phthalocyanine (NiPc/p-Si) heterojunction. The experimental data are extrac
In this paper, artificial neural network (ANN) model is used to estimate the multiplicity per rapidity for charged pions and kaons observed in various high-energy experiments from central [Formula: see text] heavy-ion collisions with energies ranging
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87d151c2f4a43bba236c24d6f1f65211
http://arxiv.org/abs/2109.07191
http://arxiv.org/abs/2109.07191
Publikováno v:
Physica Scripta. 97:065305
The rapidity distribution of well-identified particles such as pions, kaons, protons and their antiparticles measured in AGS, SPS, and BRAHMS experiments (Au+Au collisions), at various energies spanning from higher energies s NN = 200 down to lower e
Publikováno v:
Journal of Applied Research and Technology. 15:423-429
This paper uses an artificial neural network (ANN) and resilient back-propagation (Rprop) training algorithm to determine the optical constants of As 30 Se 70− x Sn x (0 ≤ x ≤ 3) thin films. The simulated values of the ANN are in good agreement
Publikováno v:
Journal of Applied Mathematics and Physics. :53-65
High energy sub-nuclear interactions are a good tool to dive deeply in the core of the particles to recognize their structures and the forces governed. The current article focuses on using one of the evolutionary computation techniques, the so-called
Publikováno v:
Superlattices and Microstructures. 83:299-309
Nanostructure thin film of InSe deposited on p-Si single crystal to fabricate n-InSe/p-Si heterojunction. Electrical and photoelectrical have been studied by the current density–voltage (J–V). The fabricated cell exhibited rectifying characterist
Publikováno v:
Advanced Studies in Theoretical Physics. 8:1-9
New technique, Genetic Programming, is presented for modeling total cross section of both pp and ¯ pp collisions from low to high energy regions. Recent total cross section data are taken from Particle Data Group and LHC collaboration. The model see
Publikováno v:
Optics Communications. 287:140-144
This paper uses an artificial neural network (ANN) and Levenberg–Marquardt training algorithm to model the nonlinear relationship between refractive index and energy gap in semiconductors. The predicted simulation values of the ANN are in accordanc
At thermal equilibrium, different chemical freezeout conditions have been proposed so far. They have an ultimate aim of proposing a universal description for the chemical freezeout parameters ($T_{ch}$ and $\mu_b$), which are to be extracted from the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf6c77192bb2a98e2a1f66087fa6503c
http://arxiv.org/abs/1603.07085
http://arxiv.org/abs/1603.07085
Publikováno v:
Indian Journal of Physics. 85:1405-1415
A relatively new computational technique, namely gradient tree boosting (GTB), is presented for modeling the total cross sections of the scattering of positrons and electrons by alkali atoms in the low and intermediate energy regions. The calculation