نتایج جستجو برای: nuclear binding energy
تعداد نتایج: 1252819 فیلتر نتایج به سال:
چکیده ندارد.
The density dependent relativistic hadron field theory(DDRH) is extended to inclusions of pentaquark Θ+.We investigate In-medium properties of Θ+ and nucleons.As well as the neutron and proton,the effective Θ+ mass decreases as the baryon density increases,and remains larger than nucleons’.The effective mass of Θ+ is calculated,M∗ Θ+ ≃ 0.71MΘ+ at normal nuclear density with the fraction of Θ+ 0...
Symmetric nuclear matter is studied within the conserving, self-consistent T -matrix approximation. This approach involves off-shell propagation of nucleons in the ladder diagrams. The binding energy receives contributions from the background part of the spectral function, away form the quasiparticle peak. The Fermi energy at the saturation point fulfills the Hugenholz-Van Hove relation. In com...
Adiabatic representation Representation in which the electronic wave functions are calculated for fixed (i.e., nonmoving) nuclei. Avoided intersection Case in which two potential energy surfaces come together but do not intersect. Conical intersection Case in which two potential energy surfaces intersect such that their separation decreases to zero linearly in the relevant nuclear coordinates. ...
چکیده ندارد.
Calculations of nuclear masses, using nuclear density functional theory, are presented for even-even nuclei spanning the nuclear chart. The resulting binding energy differences can be interpreted in terms of valence proton-neutron interactions. These are compared globally, regionally, and locally with empirical values. Overall, excellent agreement is obtained. Discrepancies highlight neglected ...
In recent years, artificial neural networks and their applications for large data sets have become a crucial part of scientific research. this work, we implement the Multilayer Perceptron (MLP), which is class feedforward network (ANN), to predict ground-state binding energies atomic nuclei. Two different MLP architectures with three four hidden layers are used study effects on predictions. To ...
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