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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.
High strength, oxidation resistant refractory alloys are difficult to fabricate for commercial use in extreme environments.
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.