A comparison of explainable artificial intelligence methods in the phase classification of multi-principal element alloys

Phase classification of multi-principal element alloys via

FCC vs. BCC phase selection in high-entropy alloys via simplified

Application of explainable artificial intelligence for prediction

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A machine-learning-based alloy design platform that enables both

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V BALACHANDRAN, Professor (Associate)

Machine learning-accelerated first-principles predictions of the

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Kyungtae Lee's research works University of Virginia, VA (UVa

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