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Abstract
Research & Development in Material Science
Artificial Intelligence in Materials Science: Accelerating Discovery and Design
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Pavan Kumar Potuganti*
Department of Physics, VNR Vignana Jyothi Institute of Engineering and Technology, India
*Corresponding author:Pavan Kumar Potuganti, Department of Physics, VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad, Telangana, India
Submission: March 20, 2026;Published: March 31, 2026
ISSN : 2576-8840Volume22 Issue 4
Abstract
Artificial Intelligence (AI) is transforming the field of materials science by accelerating the discovery, design, and optimization of new materials. By combining Machine Learning (ML) techniques with physics-based approaches, AI supports tasks ranging from high-throughput screening to inverse material design, addressing critical challenges in areas such as energy, healthcare, and advanced manufacturing. This review outlines recent developments, core methods, and practical applications, particularly emphasizing their relevance to bioactive glasses and nanomaterials.
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