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20182026
most citedAccelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning

14 citations · 28 across the 11 of their papers we have counts for

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Showing 2024Show all

2 papers · 1 filter

cond-mat.mes-hall2024

Grain boundary grooving in thin film under the influence of an external magnetic field: A phase-field study

Soumya Bandyopadhyay, Somnath Bhowmick, Rajdip Mukherjee

Using a phase-field model, we study the surface diffusion-controlled grooving of a moving grain boundary under the influence of an external magnetic field in thin films of a nonmag…

cond-mat.mtrl-sci2024★ 14 cited

Accelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning

Albert Linda, Md. Faiz Akhtar, Shaswat Pathak +1

Stacking fault energies (SFEs) are vital parameters for understanding the deformation mechanisms in metals and alloys, with prior knowledge of SFEs from ab initio calculations bein…