activity
20232026
most citedAccelerating the prediction of stacking fault energy by combining ab initio calculations and machine learning

14 citations · 26 across the 7 of their papers we have counts for

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Showing 2025Show all

2 papers · 1 filter

cond-mat.mtrl-sci2025★ 4 cited

Multiscale Modeling of Abnormal Grain Growth: Role of Solute Segregation and Grain Boundary Character

Albert Linda, Rajdip Mukherjee, Somnath Bhowmick

Abnormal grain growth (AGG) influences the properties of polycrystalline materials; however, the underlying mechanisms, particularly the role of solute segregation at the grain bou…

cond-mat.mtrl-sci2025★ 4 cited

Deep Learning Assisted Denoising of Experimental Micrographs

Owais Ahmad, Albert Linda, Saumya Ranjan Jha +1

Microstructure imaging is crucial in materials science, but experimental images often introduce noise that obscures critical structural details. This study presents a novel deep le…