Neuro-fuzzy modeling of deformation parameters for fusion-barriers

Neuro-fuzzy modeling of deformation parameters for fusion-barriers

The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction are deformed, the barrier problem becomes complicated. Therefore the deformation...

書誌詳細
主要な著者:	Serkan Akkoyun, Yunis Torun
フォーマット:	論文
言語:	English
出版事項:	Elsevier 2021-05-01
シリーズ:	Nuclear Engineering and Technology
主題:	Deformation deformation Nilsson parameters Artificial intelligence ANFIS
オンライン･アクセス:	http://www.sciencedirect.com/science/article/pii/S1738573320309104

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