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Among the methods for point source carbon capture, the absorption of CO2 using aqueous amines (namely MEA) from the post-combustion gas stream is currently considered the most promising.
When a magnetic field is applied to a type-II superconductor, it penetrates the superconductor in a thin cylindrical line known as a vortex line. Traditional methods to manipulate these vortices are limited in precision and affect a broad area.
Technologies directed quantum spectroscopy and imaging with Raman and surface-enhanced Raman scattering are described.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.