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

J. Imaging, Free Full-Text

A comparison of explainable artificial intelligence methods in the

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

PDF) A comparison of explainable artificial intelligence methods

Human-made datasets for algorithm analysis, fig 1 make up by four

Explainable machine learning in materials science

Integrating atomistic simulations and machine learning to design

Interpretable machine-learning strategy for soft-magnetic property

Explainable artificial intelligence approach for yield strength

Predicting atomic structure and mechanical properties in quinary

How machine learning can help select capping layers to suppress