Shell model studies in the SDGH shell for the proton drip line Z=51 isotopes

2021 ◽  
Author(s):  
Erdal Dikmen
Keyword(s):  
Shell Model ◽  
Drip Line ◽  
Proton Drip Line ◽  
Model Studies

scholarly journals Shell-model studies of the proton drip line nucleus106Sb

2000 ◽  
Vol 61 (2) ◽  
Author(s):  
T. Engeland ◽  
M. Hjorth-Jensen ◽  
E. Osnes
Keyword(s):  
Shell Model ◽  
Drip Line ◽  
Proton Drip Line ◽  
Model Studies

Ab initioand shell model studies of structural, thermoelastic and vibrational properties of SnO2under pressure

2013 ◽  
Vol 25 (13) ◽  
pp. 135404 ◽  
Author(s):  
R A Casali ◽  
J Lasave ◽  
M A Caravaca ◽  
S Koval ◽  
C A Ponce ◽  
...  
Keyword(s):  
Shell Model ◽  
Vibrational Properties ◽  
Model Studies

scholarly journals NUCLEI BEYOND THE PROTON DRIP-LINE

1997 ◽  
Vol 47 (1) ◽  
pp. 541-590 ◽  
Author(s):  
P. J. Woods ◽  
C. N. Davids
Keyword(s):  
Drip Line ◽  
Proton Drip Line

The structure and shape of exotic nuclei beyond the proton drip-line

2008 ◽  
Author(s):  
L. S. Ferreira ◽  
E. Maglione ◽  
P. Arumugam ◽  
Ismail Boztosun ◽  
A. B. Balantekin
Keyword(s):  
Drip Line ◽  
Exotic Nuclei ◽  
Proton Drip Line

scholarly journals Mapping the proton drip line from to

2001 ◽  
Vol 679 (3-4) ◽  
pp. 481-493 ◽  
Author(s):  
G.A. Lalazissis ◽  
D. Vretenar ◽  
P. Ring
Keyword(s):  
Drip Line ◽  
Proton Drip Line

scholarly journals Proton drip line evaluation by complementing the Finite Range Droplet Model with neural networks

2020 ◽  
Vol 15 ◽  
pp. 258
Author(s):  
S. Athanasopoulos ◽  
E. Mavrommatis ◽  
K. A. Gernoth ◽  
J. W. Clark
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Atomic Mass ◽  
Drip Line ◽  
Finite Range ◽  
Mass Excess ◽  
Droplet Model ◽  
Mass Model ◽  
Proton Drip Line ◽  
The One

We evaluate the location of the proton drip line in the regions 31≤Z≤49 and 73≤Z≤91 based on the one- and two-proton separation energies predicted by our latest Hybrid Mass Model. The latter is constructed by complementing the mass-excess values ΔM predicted by the Finite Range Droplet Model (FRDM) of Moeller et al. with a neural network model trained to predict the differences ΔMexp − ΔMFRDM between these values and the experimental mass-excess values published in the 2003 Atomic Mass Evaluation AME03.

Monte Carlo shell model studies with massively parallel supercomputers

2017 ◽  
Vol 92 (6) ◽  
pp. 063001 ◽  
Author(s):  
Noritaka Shimizu ◽  
Takashi Abe ◽  
Michio Honma ◽  
Takaharu Otsuka ◽  
Tomoaki Togashi ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Shell Model ◽  
Massively Parallel ◽  
Model Studies ◽  
Monte Carlo Shell Model ◽  
Parallel Supercomputers
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