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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.
We have developed an aerosol sampling technique to enable collection of trace materials such as actinides in the atmosphere.
This technology is a strategy for decreasing electromagnetic interference and boosting signal fidelity for low signal-to-noise sensors transmitting over long distances in extreme environments, such as nuclear energy generation applications, particularly for particle detection.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.