Tech Xplore on MSN
AI-based model measures atomic defects in materials
In biology, defects are generally bad. But in materials science, defects can be intentionally tuned to give materials useful ...
A team led by scientists at the National Graphene Institute (NGI) at The University of Manchester has developed the first ...
Using localized force-distance curves from AFM, a deep neural network was trained and biologically validated to predict and accurately distinguish macrophage polarization states, including complex ...
A new study from the Italian Institute of Technology (IIT), in collaboration with Uppsala University (Sweden) and AstraZeneca ...
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