Results 41 to 50 of about 5,445,549 (348)

Machine Learning-Assisted Prediction of Stress Corrosion Crack Growth Rate in Stainless Steel

open access: yesCrystals
Stainless-steel is extensively utilized in the key structural components of the main equipment in the nuclear island of pressurized water reactor nuclear power plants.
Peng Wang   +3 more
doaj   +1 more source

Power-level regulation and simulation of nonlinear pressurized water reactor core with xenon oscillation using H-infinity loop shaping control

open access: yesMATEC Web of Conferences, 2016
This investigation is to solve the power-level control issue of a nonlinear pressurized water reactor core with xenon oscillations. A nonlinear pressurized water reactor core is modeled using the lumped parameter method, and a linear model of the core is
Li Gang   +4 more
doaj   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

open access: yesAdvanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao   +6 more
wiley   +1 more source

Role of Passive Safety Systems in Chinese Nuclear Power Development

open access: yesScience and Technology of Nuclear Installations, 2009
Passive safety systems have been widely applied to advanced water-cooled reactors, to enhance the safety of nuclear power plants. The ambitious program of the nuclear power development in China requires reactor concepts with high safety level.
X. Cheng   +3 more
doaj   +1 more source

Determination of Pure Neutron Radiolysis Yields for use in Chemical Modeling of Supercritical Water [PDF]

open access: yes, 2007
This work has determined pure neutron radical yields at elevated temperature and pressure up to supercritical conditions using a reactor core radiation.
Edwards, Eric
core  

STATUS OF PRESSURIZED WATER REACTOR REACTIVITY ACCIDENT ANALYSIS

open access: yes, 1958
The construction of pressurized water reactors with large excess reactivities has made possible accidents with fast power excursions. A knowledge of the fastest power transient that a pressurized water reactor is capable of withstanding without ...
Geller, L., Cagnetta, J., Dobbs, R.
core   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

open access: yesAdvanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin   +16 more
wiley   +1 more source

RAST-K v2—Three-Dimensional Nodal Diffusion Code for Pressurized Water Reactor Core Analysis

open access: yes, 2020
The RAST-K v2, a novel nodal diffusion code, was developed at the Ulsan National Institute of Science and Technology (UNIST) for designing the cores of pressurized water reactors (PWR) and performing analyses with high accuracy and computational ...
Jinsu Park   +7 more
semanticscholar   +1 more source

Multiobjective genetic algorithm strategies for burnable poison design of pressurized water reactor

open access: yesInternational Journal of Energy Research, 2020
The design of burnable poisons (BPs) can compensate for excess reactivity at the beginning of lifetime of nuclear reactors and flatten power distribution, which is especially important for long‐cycle nuclear reactors.
Jian Wang   +7 more
semanticscholar   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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