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UKAEA-CCFE-PR(24)2392021
One of the main capabilities of Atom Probe Tomography (APT) is the ability to not only identify but characterise early stages of precipitation at scales that are not achievable by other techniques. The most popular method, based on the Density-Based Spatial Clustering of Applications with Noise (DBSCAN), is used extensively in many branches of r…
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UKAEA-CCFE-PR(21)752021
Eurofer97 steel is a primary structural material for the plasma facing-components of future fusion reactors. Laser welding is a promising technique that can overcome the challenges of remote handling and maintenance. However, the interaction of the induced residual stress distribution with the heterogeneous microstructure may degrade the mechanical…
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UKAEA-CCFE-PR(21)602021
Using atomistic simulations based on the creation-relaxation algorithm, we explore the evolution of microstructure in irradiated zirconium over a broad range of radiation exposure. In agreement with experimental observations, we find that at relatively low temperatures, microstructure evolves towards an asymptotic dynamic steady state forming at…
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UKAEA-CCFE-PR(21)492021
Using a combination of simulated data and pyrite isotopic reference materials, we have refined a methodology to obtain quantitative δ34S measurements from atom probe tomography (APT) datasets. This study builds on previous attempts to characterize relative 34S/32S ratios in gold containing pyrite using APT. We have also improved our understand…
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UKAEA-CCFE-PR(21)482021
Atom probe tomography and related methods probe the 3D architecture of a material. Which software tools microscopists use and how these tools are connected into work flows makes a substantial contribution to the accuracy and precision of a materials characterization experiment. Typically, the tools of a specific community adapt results and methods …
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UKAEA-CCFE-CP(21)032021
The field of fusion energy is about to enter the ITER era, for the first time we will have access to a device capable of producing 500 MW of fusion power, with plasmas lasting more than 300 seconds and with core tem- perature…
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2020
A robust impurity detection and tracking code, able to generate large sets of dust tracks from tokamak camera footage, is presented. This machine learning–based code is tested with cameras from the Joint European Torus, Doublet-III-D, and Magnum-PSI and is able to generate dust tracks with a 65–100% classification accuracy. Moreover, the number…
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UKAEA-CCFE-CP(20)1052020
Access to both High Throughput Computing (HTC) and High Performance Computing (HPC) facilities is vitally important to the fusion community, not only for plasma modelling but also for advanced engineering and design, materials research, rendering, uncertainty quantification and advanced data analytics for engineering operations. The computing re…
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UKAEA-CCFE-PR(20)1132020
Combining spatially resolved X-ray Laue diffraction with atomic-scale simulations, we observe how ion-irradiated tungsten undergoes a series of non-linear structural transformations with increasing irradiation exposure. Nanoscale defect-induced deformations accumulating above 0.02 displacements per atom (dpa) lead to highly fluctuating strains at ~…
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UKAEA-CCFE-PR(25)3971970
In this work, atom probe tomography has been applied to study lithium-induced corrosion of Pulsed-Laser Deposition grown Al2O3, which is a candidate coating material for the breeder blankets of nuclear fusion reactors. Samples were immersed in static Pb-17Li for 7000h with samples extracted from the regions near the ceramic-substrate interface t…
Showing 21 - 30 of 44 UKAEA Paper Results