Cover
Volume 7, Special Issue 4 (2026)

Published: August 25, 2026

Pages: 284-292

Research Article

The role of artificial intelligence techniques in discovering inorganic nanomaterials for achieving sustainable development

Ansam S. Kadhim 1
1General Directorate of Education in Basra, Basra, Iraq
History
  • Received: June 13, 2026
  • Available Online: August 25, 2026
DOI

https://doi.org/10.56967/ejfb2026937

Abstract

This paper reviews the growing role of AI in accelerating the discovery and design of inorganic nanomaterials for sustainable development through a six-stage pipeline: Data → AI → Prediction → Design → Fabrication → Application. Using a critical-analytical approach supported by quantitative metrics (99.99% correlation for TiO₂ band gap, screening of >10 million oxides, >2 compounds/day at A-Lab), it systematically compares ML, DL, and GNN techniques, alongside DFT-based high-throughput screening, inverse design, active learning, and self-driving laboratories. Based on 30 peer-reviewed references (2013–2026) selected using PRISMA guidelines from Scopus, Web of Science, and Google Scholar.

Keywords

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