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

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Relationship between Data Science, AI, ML and DL.

Application of explainable artificial intelligence for prediction

Explainable machine learning for predicting the mechanical

Accelerated design of MTX alloys with targeted magnetostructural

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

Applied Sciences, Free Full-Text

Explainable machine learning in materials science

Phase prediction and experimental realisation of a new high

A comparison of explainable artificial intelligence methods in the

Application of explainable artificial intelligence for prediction

A general and transferable deep learning framework for predicting

A general and transferable deep learning framework for predicting

Directed Acyclic Graph III. INTEGRATING HARDWARE AND SOFTWARE The

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