Search - Virtual Journal of Nuclear Astrophysics

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Results 1 - 13 of 13

Microscopic Study of ${}^1{S_0}$ Superfluidity in Dilute Neutron Matter. (arXiv:1612.02188v1 [nucl-th])
- Virtual Journal - Volume 14, Issue 50 - article #7
- G. E. Pavlou, E. Mavrommatis, Ch. Moustakidis, J. W. Clark
- http://arxiv.org/abs/1612.02188
Statistical Global Model of beta- Half-lives and r-Process Nucleosynthesis
- Virtual Journal - Volume 11, Issue 36 - article #18
- N. J. Costiris, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- arXiv.org - Nuclear Theory - Volume: 2013, Issue: 6 Sep
- arXiv:1309.0540 [pdf, ps, other]
Decoding beta-decay systematics: A global statistical model for beta^- half-lives
- Virtual Journal - Volume 7, Issue 45 - article #32
- N. J. Costiris, E. Mavrommatis, K. A. Gernoth, and J. W. Clark
- Physical Review C - Volume: 80, Issue: 4
- Full Text: PDF
Statistical Global Modeling of Beta-Decay Halflives Systematics Using Multilayer Feedforward Neural Networks and Support Vector Machines
- Virtual Journal - Volume 6, Issue 36 - article #12
- N. J. Costiris, E. Mavrommatis, K. A. Gernoth, J. W. Clark, H. Li
- arXiv.org - Nuclear Theory - Volume: 2008, Issue: 4 Sep
- arXiv:0809.0383 [pdf, other]
Decoding Beta-Decay Systematics: A Global Statistical Model for Beta^- Halflives
- Virtual Journal - Volume 6, Issue 25 - article #9
- N. J. Costiris, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- arXiv.org - Nuclear Theory - Volume: 2008, Issue: 19 Jun
- arXiv:0806.2850 [ps, pdf, other]
A Global Model of β^--Decay Half-Lives Using Neural Networks
- Virtual Journal - Volume 5, Issue 6 - article #22
- N. Costiris, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- ArXiv - Astrophysics
- nucl-th/0701096 [abs, ps, pdf, other]
A Global Model of β^--Decay Half-Lives Using Neural Networks
- Virtual Journal - Volume 5, Issue 5 - article #26
- N. Costiris, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- ArXiv - Nuclear Theory
- nucl-th/0701096 [abs, ps, pdf, other]
Nuclear mass systematics by complementing the Finite Range Droplet Model with neural networks
- Virtual Journal - Volume 3, Issue 48 - article #29
- S. Athanassopoulos, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- ArXiv – Nuclear Experiment – December 2005
- nucl-th/0511088 [abs, ps, pdf, other]
Modeling Nuclear Properties with Support Vector Machines
- Virtual Journal - Volume 3, Issue 26 - article #43
- Haochen Li, J. W. Clark, E. Mavrommatis, S. Athanassopoulos, K. A. Gernoth
- ArXiv - Nuclear Theory – July 2005
- nucl-th/0506080 [ abs , ps , pdf , other ]
Nuclear vorticity and the low-energy nuclear response: towards the neutron drip line
- Virtual Journal - Volume 2, Issue 47 - article #32
- P. Papakonstantinou, J. Wambach, E. Mavrommatis and V.Yu. Ponomarev
- Physics Letters B – Vol 604, Issues 3-4 – November 2004
- http://dx.doi.org/10.1016/j.physletb.2004.10.053
Nuclear vorticity and the low-energy nuclear response - Towards the neutron drip line
- Virtual Journal - Volume 2, Issue 46 - article #26
- P. Papakonstantinou, J. Wambach, E. Mavrommatis, V. Yu. Ponomarev
- arXiv – Nuclear Theory – November 2004
- nucl-th/0411062 [ abs , ps , pdf , other ]
Nuclear mass systematics using neural networks
- Virtual Journal - Volume 2, Issue 38 - article #66
- S. Athanassopoulos, E. Mavrommatis, K.A. Gernoth and J.W. Clark
- Nuclear Physics A - Volume 743, Issue 4 – October 2004
- http://dx.doi.org/10.1016/j.nuclphysa.2004.08.006
Nuclear mass systematics using neural networks
- Virtual Journal - Volume 1, Issue 3 - article #25
- S. Athanassopoulos, E. Mavrommatis, K. A. Gernoth, J. W. Clark
- arXiv.org - Nuclear Theory - Fri, 1 Aug 2003
- nucl-th/0307117 [ abs , ps , pdf , other ]

Results 1 - 13 of 13

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