High strength aluminum alloys design via explainable artificial
Adaptive machine learning for efficient materials design
PDF) Phase classification of multi-principal element alloys via
Explainable artificial intelligence approach for yield strength
A general and transferable deep learning framework for predicting
A deep neural network regressor for phase constitution estimation in the high entropy alloy system Al-Co-Cr-Fe-Mn-Nb-Ni
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A general and transferable deep learning framework for predicting
Adaptive machine learning for efficient materials design
Kyungtae Lee's research works University of Virginia, VA (UVa
PDF) A Comparison of Explainable Artificial Intelligence Methods
Feature importance of machine learning on DFT dataset. a Feature
Model-Free Cluster Analysis of Physical Property Data using
