E-ISSN: 2277-6184 | P-ISSN: 2321-6514 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access
Journal of Nuclear Engineering & Technology Journal of Nuclear Engineering & Technology [2277-6184(e)]Â is a peer-reviewed hybrid open access journal launched in 2011 and focused on the rapid publication of fundamental research papers on all areas of Nuclear Engineering & Nuclear …
jonet maintains an Editorial Board of practicing researchers from around the world, to ensure manuscripts are handled by editors who are experts in the field of study.
Prof. Chechenin Nikolai Gavrilovich, The head of the Department
SKOBELTSYN INSTITUTE OF NUCLEAR PHYSICS LOMONOSOV MOSCOW STATE UNIVERSITY, Moscow, Russia,
Email :
Institutional Profile Link: http://www.sinp.msu.ru/en/users/341
Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis.
Nuclear energy has enormous power and is essential to the global effort to provide clean, sustainable electricity, but it also carries a huge responsibility: guaranteeing its complete safety.
Nuclear engineering is going through a big change as new technologies strain the limits of classical fission-based power generation.
We used atomic nuclei with proton number Z = 122 to calculate bulk properties within the relativistic mean field (RMF) theory. We utilized the force parameters recognized as NL3 in our calculations.
We present a theoretical model for a Fermi–Boson Hybrid Particle (FBHP) that unifies fermionic half-integer spin matter fields with bosonic integer-spin force fields within a single quantum framework.
Nuclear power has been at a crossroads for decades. Acclaimed for its massive, decarbonized energy production, it has also been questioned because of the disastrous possibility of mishaps.
