University of Houston: Machine Learning Boosts the Search for 'Superhard' Materials
December 18, 2020
December 18, 2020
HOUSTON, Texas, Dec. 18 (TNSJou) -- The University of Houston issued the following news release on Dec. 17:
Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials such as diamonds. Until now.
Researchers from the University of Houston and Manhattan College have reported a machine learning model that can accurately predict the har . . .
Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials such as diamonds. Until now.
Researchers from the University of Houston and Manhattan College have reported a machine learning model that can accurately predict the har . . .