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Fuel Cycle & Waste Management
Devoted to all aspects of the nuclear fuel cycle including waste management, worldwide. Division specific areas of interest and involvement include uranium conversion and enrichment; fuel fabrication, management (in-core and ex-core) and recycle; transportation; safeguards; high-level, low-level and mixed waste management and disposal; public policy and program management; decontamination and decommissioning environmental restoration; and excess weapons materials disposition.
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2023)
February 6–9, 2023
Amelia Island, FL|Omni Amelia Island Resort
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Nuclear Science and Engineering
Fusion Science and Technology
University of Florida–led consortium to research nuclear forensics
A 16-university team of 31 scientists and engineers, under the title Consortium for Nuclear Forensics and led by the University of Florida, has been selected by the Department of Energy’s National Nuclear Security Administration (NNSA) to develop the next generation of new technologies and insights in nuclear forensics.
G. L. Kulcinski, J. F. Santarius, K. Johnson, A. Megahed, R. L. Bonomo
Fusion Science and Technology | Volume 72 | Number 3 | October 2017 | Pages 455-460
Technical Paper | doi.org/10.1080/15361055.2017.1333862
Articles are hosted by Taylor and Francis Online.
This paper describes a system to detect landmines or IEDs by the use of small DD or DT neutron sources carried by a drone. The neutron source is powered by beaming RF or laser energy, at a distance of up to a km from the target, to a relay drone high (≈ 100 meters) above the neutron drone that converts the RF energy to electricity. The relay drone uses the electricity to generate another set of RF waves, and sends the energy down to the neutron drone to power the Inertial Electrostatic Confinement (IEC) fusion neutron generator. The neutrons emitted by the IEC generator interrogate the ground below the mobile neutron drone through neutron activation and the orbiting detector drones collect the gamma ray signals to determine the composition and location of the objects below. When the N/C/O signal is close to known chemical explosives signatures, the object is tagged for further investigation.