Isotope multilayers enable direct derivation of up to 250% reversible volume expansion in LixGe electrodes from the Bragg peak position in neutron reflectivity during operando cycling.
In -situ Neutron Reflectometry to Determine Ge Self - Diffusivities and Activation Energy of Diffusion in Amorphous Ge0.8Si0.2
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Generative models including VAEs, normalizing flows, GANs, and diffusion models can learn neutron source distributions from Monte Carlo lists for fast, memory-free sampling after training.
citing papers explorer
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Operando Characterization of Volume Changes in Lithium-Ion Battery Electrodes during Cycling using Isotope Multilayers
Isotope multilayers enable direct derivation of up to 250% reversible volume expansion in LixGe electrodes from the Bragg peak position in neutron reflectivity during operando cycling.
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Machine Learning for neutron source distributions
Generative models including VAEs, normalizing flows, GANs, and diffusion models can learn neutron source distributions from Monte Carlo lists for fast, memory-free sampling after training.