Multi-principal element alloy discovery using directed energy deposition and machine learning

Scikit-learn: Machine Learning in Python

Fabián Pedregosa, Gaël Varoquaux, Alexandre Gramfort et al. · arXiv (Cornell University) · 2012 · 63.7K citations · Full text

Computing, Computer Science, Artificial Intelligence +10

An improved technique for determining hardness and elastic modulus using load and displacement sensing indentation experiments

W. C. Oliver, George M. Pharr · Journal of materials research/Pratt's guide to venture capital sources · 1992 · 26.6K citations

Natural Sciences, Materials Engineering, Materials Science +16

Nanostructured High‐Entropy Alloys with Multiple Principal Elements: Novel Alloy Design Concepts and Outcomes

J.‐W. Yeh, Swe-Kai Chen, Sung‐Jan Lin et al. · Advanced Engineering Materials · 2004 · 14.7K citations

Natural Sciences, Materials Engineering, Materials Science +12

Algorithm AS 136: A K-Means Clustering Algorithm

J. A. Hartigan, M. Anthony Wong · Journal of the Royal Statistical Society Series C (Applied Statistics) · 1979 · 14.4K citations

Computing, Computer Science, Mathematics +9

Microstructural development in equiatomic multicomponent alloys

B. Cantor, I.T.H. Chang, Peter A. Knight et al. · Materials Science and Engineering A · 2004 · 9.8K citations

Natural Sciences, Materials Engineering, Materials Science +14