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Article
Jianxi Gao
Rensselaer Polytechnic Institute
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3952-208X
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we lack a systemic tool, in the form of a network framework,
to understand the structure and dynamics of 70 thousands reactions discovered until now.
We assemble here a nuclear reaction network in which a node represents a nuclide, and a link represents a direct reaction between nuclides.
Interestingly, the degree distribution of nuclear network exhibits
a bimodal distribution that significantly deviates from
the power-law distribution of scale-free networks and
Poisson distribution of random networks.
The distribution is universal for reactions with a rate below the threshold,
λ<e-Tγ, where T is the temperature and γ≈1.05.
We discovered three rules that govern the structure pattern of nuclear reaction network: (i) reaction-type is determined by linking choices, (ii) spatial distances between the reacting nuclides are short,
and (iii) each node in- and out- degrees are close to each other.
By incorporating these three rules, our model
unveils the underlying nuclear reaction patterns hidden
in a large and dense nuclear reaction network.
It enables us
to predict missing links that
represent possible new nuclear reactions not yet discovered.
Keywords
Network Framework, Bimodel Distribution, Nuclear Reaction Patterns
Figure 1
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Figure 6
The full text of this article is available to read as a PDF.
There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- movie.mp4
Degree Model
- NuclearNetworkSI.pdf
Supplemental Information: Nuclear Reaction Network Unveils Novel Reaction Patterns and Nuclei Stability
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A new preprint design is coming!
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This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Article
Jianxi Gao
Rensselaer Polytechnic Institute
Corresponding Author
ORCiD: https://orcid.org/0000-0002-3952-208X
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 10 Sep, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Physics
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Despite the advances in discovering new nuclei, modeling microscopic nuclear structure, nuclear reactors, and stellar nucleosynthesis, we lack a systemic tool, in the form of a network framework,
to understand the structure and dynamics of 70 thousands reactions discovered until now.
We assemble here a nuclear reaction network in which a node represents a nuclide, and a link represents a direct reaction between nuclides.
Interestingly, the degree distribution of nuclear network exhibits
a bimodal distribution that significantly deviates from
the power-law distribution of scale-free networks and
Poisson distribution of random networks.
The distribution is universal for reactions with a rate below the threshold,
λ<e-Tγ, where T is the temperature and γ≈1.05.
We discovered three rules that govern the structure pattern of nuclear reaction network: (i) reaction-type is determined by linking choices, (ii) spatial distances between the reacting nuclides are short,
and (iii) each node in- and out- degrees are close to each other.
By incorporating these three rules, our model
unveils the underlying nuclear reaction patterns hidden
in a large and dense nuclear reaction network.
It enables us
to predict missing links that
represent possible new nuclear reactions not yet discovered.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
The full text of this article is available to read as a PDF.
There is NO Competing Interest.
This is a list of supplementary files associated with this preprint. Click to download.
- movie.mp4
Degree Model
- NuclearNetworkSI.pdf
Supplemental Information: Nuclear Reaction Network Unveils Novel Reaction Patterns and Nuclei Stability
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