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

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

MAKE, Free Full-Text

Materials science in the artificial intelligence age: high

AI Applications through the Whole Life Cycle of Material Discovery

Application of explainable artificial intelligence for prediction

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

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

Adaptive machine learning for efficient materials design

Accelerated design of MTX alloys with targeted magnetostructural

A general and transferable deep learning framework for predicting

Frontiers On the importance of interpretable machine learning

Metals, Free Full-Text