Results 21 to 30 of about 1,374,496 (201)

Predicting Neutron Noise Detector Responses for Zero-Power Molten Salt Reactor Experiments [PDF]

open access: yesEPJ Web of Conferences
We use Monte Carlo simulations to predict the responses of neutron noise experiments in zero-power Molten Salt Reactors (MSRs). As for conventional reactors, the initial testing of a newly constructed reactor often comprises zero-power tests and ...
Pakari Oskari   +2 more
doaj   +1 more source

A geometric unsharpness correction method for neutron photographic image based on improved Richardson–Lucy algorithm

open access: yesHe jishu, 2023
BackgroundDue to the specific imaging structure of neutron imaging system, the geometric unsharpness is unavoidable in neutron photographic images after imaging.PurposeThis study aims to design a geometric unsharpness correction method for neutron ...
WU Huajie   +5 more
doaj   +1 more source

ACCELERATION OF A 2-DIMENSIONAL, 2-ENERGY GROUP NEUTRON NOISE SOLVER BASED ON A DISCRETE ORDINATES METHOD IN THE FREQUENCY DOMAIN [PDF]

open access: yesEPJ Web of Conferences, 2021
The acceleration of the convergence rate is studied for a neutron transport solver to simulate 2-D, 2-energy-group neutron noise problems in the frequency domain.
Yi Huaiqian   +2 more
doaj   +1 more source

Simulation of neutron noise in the research reactor AKR 2: comparison between a discrete ordinates and a diffusion based method

open access: yes, 2022
Outline Background Neutron noise solvers: CORE SIM+ and NOISE SN AKR 2 and neutron noise experiments Comparison between CORE SIM+ and NOISE SN ...
Antonios Mylokanis   +3 more
core   +1 more source

Adaptive group of ink drop spread: a computer code to unfold neutron noise sources in reactor cores

open access: yesNuclear Engineering and Technology, 2017
The present paper reports the development of a computational code based on the Adaptive Group of Ink Drop Spread (AGIDS) for reconstruction of the neutron noise sources in reactor cores.
Seyed Abolfazl Hosseini   +1 more
doaj   +1 more source

Localizing Perturbations in Pressurized Water Reactors Using One-Dimensional Deep Convolutional Neural Networks

open access: yesSensors, 2021
This work outlines an approach for localizing anomalies in nuclear reactor cores during their steady state operation, employing deep, one-dimensional, convolutional neural networks.
Laurent Pantera   +8 more
doaj   +1 more source

MONTE CARLO-BASED DYNAMIC CALCULATIONS OF STATIONARY PERTURBATIONS [PDF]

open access: yesEPJ Web of Conferences, 2021
Capitalizing on some earlier work, this paper presents a novel Monte Carlo-based approach that allows estimating the neutron noise induced by stationary perturbations of macroscopic cross-sections in the frequency domain.
Demazière C, Tatidis A, Vinai P
doaj   +1 more source

Development of an Event Tracking Feature in OpenMC for Neutron Noise Analysis [PDF]

open access: yesEPJ Web of Conferences
We present the development and implementation of a neutron event-tracking capability in OpenMC, an open-source, community-driven Monte Carlo radiation transport code.
Saliba Michel   +5 more
doaj   +1 more source

USING PROMPT NEUTRON DECAY CONSTANT MEASUREMENTS TO OBTAIN ADDITIONAL KINETICS INFORMATION [PDF]

open access: yesEPJ Web of Conferences, 2021
Prompt neutron decay constant measurements are typically used to infer the prompt neutron lifetime in a chain-reacting system, but these measurements include much more information about the kinetics of the system.
McKenzie George   +2 more
doaj   +1 more source

A Cylindrical Cell for Operando Neutron Diffraction of Li-Ion Battery Electrode Materials [PDF]

open access: yes, 2018
Neutron diffraction is a powerful technique to localize and quantify lithium in battery electrode materials. However, obtaining high-quality operando neutron diffraction data is challenging because it requires achieving good electrochemical performance ...
Reichardt, Martin   +17 more
core   +1 more source

Home - About - Disclaimer - Privacy