What if you could predict a material’s internal microstructure based solely on its external surface characteristics? A new deep learning method developed at Massachusetts Institute of Technology provides such a capability, and all data and codes used for the study are freely available for anyone to use through GitHub.
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A couple of University of California, Los Angeles researchers have devised a patterned surface that resembles a bed of nails and is superrepellent against all liquid assaults—a true superomniphobic surface.
Read MoreScientists at MIT, Intel and other facilities are researching microstructures in hopes of replacing lithium-ion batteries with nanoscale ultrapowerful capacitors. If successful, the new materials could be mass produced in…
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