AI-driven bandgap engineering of Mg–Ca Co-doped HgS semiconductors: A hybrid ML–DL–DFT+U framework for next-generation solar energy materials

Computational Condensed Matter 2026

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Authors: Yogesh Kumar Sahu, Shrivishal Tripathi, Punya Prasanna Paltani

DOI: 10.1016/j.cocom.2026.e01242

Cited by: 1

References: 45

Fields of Study & Subjects

Chalcogenide Semiconductor Thin Films Machine Learning in Materials Science Ga2O3 and related materials

References 45