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Author

Rakesh Kumar

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Review Open access Oct 2026

A systematic review of machine learning approaches for phase stability and mechanical property prediction in high-entropy alloys

: High entropy alloys (HEAs) have attracted significant research interest owing to their vast compositional space and diverse achievable properties. However, exploring this extensive design space and experimentally determining phase constituents and mechanical properties are time-consuming processes. Machine learning (...

J. Kumar, Rakesh Kumar, R. Verma · 0 citations
Open access 2026

Experimental characterization of LM13 aluminum piston alloy: composition, mechanical properties, microstructure, and preliminary heat-treatment response

LM13 is a near-eutectic Al–Si–Cu–Ni–Mg casting alloy used for pistons and other thermally loaded components. This study provides an integrated preliminary characterization of an industrially relevant LM13 casting by combining optical emission spectrometry, Brinell hardness, tensile and Charpy V-notch testing, optical m...

Navdeep Singh, M. K. Paswan, Rakesh Kumar · 0 citations

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