Work

Secondary-data-driven and interpretable machine learning for experimental band-gap prediction in inorganic semiconductors

Year: 2026

Type: article

Source: The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics

DOI: 10.1080/14786435.2026.2756426

Authors: Laxmi Kapri, Dipen Satyal

Institution: Tribhuvan University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W7225576582

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Cites: 12

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Related to: 10