University of Cambridge > > Machine learning in Physics, Chemistry and Materials discussion group (MLDG) > The modern-day blacksmith

The modern-day blacksmith

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A neural network tool was used to discover a new nickel-base alloy for direct laser deposition most likely to satisfy targets of processability, cost, density, phase stability, creep resistance, oxidation, fatigue life, and resistance to thermal stresses. The neural network tool can learn property-property relationships, which allows it to use a large database of weldability measurements to guide the extrapolation of just ten data entries of alloy processability. The tool was used to propose a new alloy, and experimental testing confirms that the physical properties of the proposed alloy are better tailored to the target application than other commercially available alloys.

This talk is part of the Machine learning in Physics, Chemistry and Materials discussion group (MLDG) series.

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