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Journal of Nuclear Engineering is a peer-reviewed journal published by MDPI, covering Nuclear reactor physics and engineering, Nuclear Materials and Properties, Nuclear Physics and Applications. Over its lifetime it has published 259 papers, which have received 1,045 citations.
| Publisher | MDPI |
|---|---|
| Reference style | Numbered (MDPI) Numbered — [1], [2] in the text 1. Smith, A.; Jones, B.; Lee, C. A Representative Article Title. Journal of Nuclear Engineering 2023, 12, 45–58.
Formats any DOI in Journal of Nuclear Engineering style. No sign-up. |
| Abbreviation (ISO-4) | J. Nucl. Eng. |
| Publishes research in | Nuclear reactor physics and engineering Nuclear Materials and Properties Nuclear Physics and Applications Nuclear Engineering Thermal-Hydraulics Fusion materials and technologies |
| ISSN | 2673-4362 |
| Citation impact (2-yr) | 1.52 |
| h-index | 15 |
| i10-index | 35 |
| Article processing charge | $1,082 |
| Open access | Yes — indexed in DOAJ |
| Top institutions publishing here | Karlsruhe Institute of Technology |
| Journal website | www.mdpi.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Diamond is widely studied and used for the detection of direct and indirect ionizing particles because of its many physical and electrical outstanding properties, which make this material very attractive as a fast-response, high-radiation-hardness and low-noise radiation detector. Diamond detectors are suited for detecting almost all types of ionizing radiation (e.g., neutrons, ions, UV, and…
The EU conducted the pre-conceptual design (PCD) phase of the demonstration reactor (DEMO) during 2014–2020 under the framework of the EUROfusion consortium. The current strategy of DEMO design is to bridge the breeding blanket (BB) technology gaps between ITER and a commercial fusion power plant (FPP) by playing the role of a “Component Test Facility”…
In this paper, the artificial neural networks (ANN) based deep learning (DL) techniques were developed to solve the neutron diffusion problems for the continuous neutron flux distribution without domain discretization in advance. Due to its mesh-free property, the DL solution can easily be extended to complicated geometries. Two specific realizations of DL methods with different…
Over the last decade, the importance of the Monte Carlo as a neutron transport calculation method has greatly increased. This paper describes a Monte Carlo particle transport framework SCONE, which aims to provide with easy-to-learn environment for graduate students to learn about Monte Carlo methods and explore new ideas. The paper lists the steps taken…
Rapid search and localization for nuclear sources can be an important aspect in preventing human harm from illicit material in dirty bombs or from contamination. In the case of a single mobile radiation detector, there are numerous challenges to overcome such as weak source intensity, multiple sources, background radiation, and the presence of obstructions, i.e.,…
