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Neutron scattering experiments cover a large temperature range in which experimenters want to test their samples.
Neutron beams are used around the world to study materials for various purposes.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
An ORNL team has developed a method for screening for an immunoregulatory protein, which includes assessing the sequence of a candidate protein to determine if it is an immunoregulatory protein when at least one plasminogen-apple-nematode (PAN) domain with a consensus sequence
A novel approach was applied for the preparation of polymer membranes having CO2-philic group for CO2 separation.