Mashroor S. Nitol

Machine learning models for predictive materials science from fundamental physics: An application to titanium and zirconium

Mashroor S. Nitol, Doyl Dickel, Christopher D. Barrett · Acta Materialia · 2021 · 43 citations

Natural Sciences, Materials Engineering, Materials Science +16

New modified embedded-atom method interatomic potential to understand deformation behavior in VNbTaTiZr refractory high entropy alloy

Mashroor S. Nitol, Marco J. Echeverría, Khanh Dang et al. · Computational Materials Science · 2024 · 35 citations

Natural Sciences, Materials Engineering, Materials Science +14

Artificial neural network potential for pure zinc

Mashroor S. Nitol, Doyl Dickel, Christopher D. Barrett · Computational Materials Science · 2020 · 33 citations

Natural Sciences, Chemistry, Materials Science +10

Solid solution softening in dislocation-starved Mg–Al alloys

Mashroor S. Nitol, Sara Adibi, Christopher D. Barrett et al. · Mechanics of Materials · 2020 · 24 citations

Natural Sciences, Materials Engineering, Materials Science +14

Hybrid interatomic potential for Sn

Mashroor S. Nitol, Khanh Dang, Saryu Fensin et al. · Physical Review Materials · 2023 · 21 citations · Full text

Natural Sciences, Materials Science, Physics +17