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How Machine Learning can speed up material design, testing and manufacturing, ET Auto

Machine Learning: The conventional alloy design process is multistage and thus multivariable, leading to tremendous effort. Further, alloy design is also about meeting a well-defined target of properties like yield strength, ultimate tensile strength, fracture toughness, fatigue life etc. ML method can eliminate long hit-and-trial-based expensive methodology of material design to smart discovery and deployment. A tangible effort is going on across the globe to curate, capture, generate and manage data and to come up with algorithms to predict the next processes and materials. ....

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