首页|New Machine Learning Study Findings Have Been Reported by Investigators at India n Institute of Technology (IIT) Kanpur (Accelerating the Prediction of Stacking Fault Energy By Combining Ab Initio Calculations and Machine Learning)
New Machine Learning Study Findings Have Been Reported by Investigators at India n Institute of Technology (IIT) Kanpur (Accelerating the Prediction of Stacking Fault Energy By Combining Ab Initio Calculations and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingout of Kanpur, India, by NewsRx edi tors, research stated, “Stacking fault energies (SFEs) are key parametersto und erstand the deformation mechanisms in metals and alloys, and prior knowledge of SFEs from abinitio calculations is crucial for alloy design. Machine learning ( ML) algorithms used in the present workshow a similar to 80 times acceleration of generalized stacking fault energy predictions, which are otherwisecomputatio nally very expensive to get directly from density functional theory calculations , particularly foralloys.”
KanpurIndiaAsiaCyborgsEmerging T echnologiesMachine LearningIndian Institute of Technology (IIT) Kanpur
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