most citedMeDaS: An open-source platform as service to help break the walls between medicine and informatics

3 citations · 4 across the 2 of their papers we have counts for

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cond-mat.mtrl-sci2020★ 1 cited

Prediction of mechanical properties of non-equiatomic high-entropy alloy by atomistic simulation and machine learning

Liang Zhang, Kun Qian, Björn W. Schuller +3

High-entropy alloys (HEAs) with multiple constituent elements have been extensively studied in the past 20 years due to their promising engineering application. Previous experiment…