Results 11 to 20 of about 2,262,809 (415)
3D imaging of a nuclear reactor using muography measurements. [PDF]
Sci Adv, 2023 The inspection of very large or thick structures represents one of the biggest challenges for nondestructive techniques. For such objects, a particularly powerful technique is muography, which makes use of free, natural cosmic-ray muons.
Procureur S +10 more
europepmc +2 more sources
Physics-informed neural network with transfer learning (TL-PINN) based on domain similarity measure for prediction of nuclear reactor transients. [PDF]
Sci Rep, 2023 Nuclear reactor safety and efficiency can be enhanced through the development of accurate and fast methods for prediction of reactor transient (RT) states.
Prantikos K +3 more
europepmc +2 more sources
AI-based design of a nuclear reactor core. [PDF]
Sci Rep, 2021 The authors developed an artificial intelligence (AI)-based algorithm for the design and optimization of a nuclear reactor core based on a flexible geometry and demonstrated a 3× improvement in the selected performance metric: temperature peaking factor.
Sobes V +6 more
europepmc +2 more sources
Use of Gaussian process regression for radiation mapping of a nuclear reactor with a mobile robot. [PDF]
Sci Rep, 2021 Collection and interpolation of radiation observations is of vital importance to support routine operations in the nuclear sector globally, as well as for completing surveys during crisis response.
West A +6 more
europepmc +2 more sources
Search for coherent elastic neutrino-nucleus scattering at a nuclear reactor with CONNIE 2019 data [PDF]
Journal of High Energy Physics, 2021 The Coherent Neutrino-Nucleus Interaction Experiment (CONNIE) is taking data at the Angra 2 nuclear reactor with the aim of detecting the coherent elastic scattering of reactor antineutrinos with silicon nuclei using charge-coupled devices (CCDs).
C. C. A. Aguilar-Arevalo +34 more
semanticscholar +1 more source
Nuclear science and engineering, 2022 This paper proposes an approach that combines reduced-order models with machine learning in order to create physics-informed digital twins to predict high-dimensional output quantities of interest, such as neutron flux and power distributions in nuclear ...
Helin Gong +3 more
semanticscholar +1 more source
Energies, 2022 A digital twin (DT) for nuclear reactor monitoring can be implemented using either a differential equations-based physics model or a data-driven machine learning model.
Konstantinos Prantikos +2 more
semanticscholar +1 more source
Control Rods Reactivity Worth Measurement in a Mixed Core Heavy Water Zero Power Reactor (HWZPR) [PDF]
مجله علوم و فنون هستهای, 2018 Systems related to reactivity control in a heavy water zero power reactor (HWZPR) consist of safety rod, control rod, emergency dump, and water level measurement and regulation systems.
P Kaviani +3 more
doaj +1 more source
Frontiers in Energy Research, 2023 Research and development on digital twins of nuclear power systems has focused on high-precision real-time simulation and the prediction of local complex three-dimensional fluid dynamics. Traditional computational fluid dynamics (CFD) methods cannot take
Jun Yang +7 more
doaj +1 more source
Investigating the effect of data acquisition geometry and image reconstruction method on neutron computed tomography images at Tehran Research Reactor [PDF]
مجله علوم و فنون هستهای, 2023 Neutron Computed Tomography (nCT) is one of the modern applications of research reactors. The combination of the Three-dimensional representation capability of tomographic imaging and the unique properties of neutron interaction with materials creates ...
N. Araghian +5 more
doaj +1 more source