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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.
ORNL has developed a large area thermal neutron detector based on 6LiF/ZnS(Ag) scintillator coupled with wavelength shifting fibers. The detector uses resistive charge divider-based position encoding.
The technologies provide a system and method of needling of veiled AS4 fabric tape.
ORNL will develop an advanced high-performing RTG using a novel radioisotope heat source.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.