Understanding and controlling how the diffusion process works at the atomic scale is an important question in the synthesis of materials. For nanoparticles, the stability, size, structure, composition ...
The diffusion of light elements into metals has been efficiently modeled by A*STAR researchers using a machine learning approach. Solid-state diffusion, in which atoms migrate through the lattice of a ...
We present in-situ self-diffusion experiments in solids, which were carried out by Focussing Neutron Reflectometry on isotope multilayers. This new approach offers the following advantages in ...
Diffusion in solids is fundamental in the art and science of materials and thus a key point for solid-state physics, physical chemistry and metallurgy. Processes connected with diffusion pose some ...
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