Work

Data‐Driven Molecular Architectonics for Dye Discovery: Integrating Gradient Boosting Paradigms With Retrosynthetic Fragmentation for Band Gap Optimization

Year: 2026

Type: article

Source: Energy Technology

DOI: 10.1002/ente.70555

Authors: Maymounah N. Alharthi, Anthony Pembere, Khadijah Mohammedsaleh Katubi, Sumaira Naeem, M. S. Al‐Buriahi

Institutions: Princess Nourah bint Abdulrahman University, Jaramogi Oginga Odinga University of Science and Technology, Baba Guru Nanak University, Sakarya University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funder: Princess Nourah Bint Abdulrahman University

Award: G6317509111

OpenAlex ID: W7166651350

FWCI:

Cites: 25

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