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Journal of Nuclear Engineering & Technology

E-ISSN: 2277-6184 | P-ISSN: 2321-6514 | Peer-Reviewed Journal (Refereed Journal) | Hybrid Open Access

About the Journal

Journal of Nuclear Engineering & Technology Journal of Nuclear Engineering & Technology [2277-6184(e)] 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 Technology.

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Journal Information

Title: Journal of Nuclear Engineering & Technology
Abbreviation: jonet
Issues Per Year: 3 Issues
P-ISSN: 2321-6514
E-ISSN: 2277-6184
Publisher: STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd.
DOI: 10.37591/JONET
Starting Year: 2011
Subject: Nuclear Engineering
Publication Format: Hybrid Open Access
Language: English
Copyright Policy: CC BY-NC-ND
Type: Peer-reviewed Journal (Refereed Journal)

Address:

STM Journals, An imprint of Consortium e-Learning Network Pvt. Ltd. A-118, 1st Floor, Sector-63, Noida, U.P. India, Pin - 201301

Editorial Board

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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.

Editor in Chief

Editor

Prof. Chechenin Nikolai Gavrilovich, The head of the Department

SKOBELTSYN INSTITUTE OF NUCLEAR PHYSICS LOMONOSOV MOSCOW STATE UNIVERSITY, Moscow, Russia,

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Latest Articles

Ahead of Print

Thorium Nuclear Reactor: A Sustainable Future for Clean Energy-A Review Study

Thorium-232, a naturally abundant and fertile element, is increasingly regarded as a viable alternative to uranium-235 as the basis of future nuclear fuel cycles.

LFTR, Thorium, Nuclear Reactor, Three-Stage Programme, Molten Salt Reactor

Integrated Frameworks for Artifical Intelligence in Radioactive Waste Characterization and Nuclear Lifecycle Safety

The management and characterization of radioactive waste represent a pivotal challenge for the global energy sector, requiring the convergence of advanced physics, material science, and computational intelligence.

Artificial Intelligence (AI), Radioactive Waste Characterization, Machine Learning, Nuclear Safety Management, Digital Twins and Predictive Analytics.

Machine Learning in Nuclear Medical Applications: A Review of Research Frontiers

Nuclear medicine, encompassing PET, SPECT, and targeted radionuclide therapy, generates high-dimensional, quantitative data uniquely suited for machine learning (ML) analysis.

PET, Radiomics, Dosimetry, Segmentation, Reconstruction

Nuclear Reactor Safety Using Seismic and Natural Disaster Protection: A Study

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 Reactor, Safety, Seismic, Natural Disaster protection, Nuclear energy, Passive Safety

The Next Era of Nuclear Engineering: Beyond Fission

Nuclear engineering is going through a big change as new technologies strain the limits of classical fission-based power generation.

Nuclear Engineering, Reactors, Small Modular Reactors (SMRs), Nuclear Fusion, Radioactive Waste

Theoretical Study of Z = 122 Nuclei

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.

Thomas-Fermi Approximation, Relativistic Mean Field; Charge Distribu-tion, Binding Energy; Qα; Half-life.