IJLTEMAS International Journal of Latest Technology in Engineering, Management & Applied Science (IJLTEMAS) IJLTEMAS 2278-2540 IJLTEMAS 298 10.51583/IJLTEMAS.2026.150800104 Artificial Intelligence Artificial Intelligence Applications in Ceramic Materials Rama Obulesu K. Department of Physics, Govt. Degree College, Shanthinagar, Jogulamba Gadwal Dist., Telangana -509126, India India Sreenu K. Department of Physics, Govt. Degree College, Ramachandrapuram, A.P-533255, India India 15 8 1438 1442 01 09 2026 06 09 2026 18 09 2026 Artificial Intelligence Machine Learning Ceramic Materials Materials Science Microstructure Materials Discovery Defect Detection Additive Manufacturing Abstract

Advanced ceramic materials are being developed, manufactured, characterized, and applied in ways that are progressively being transformed by artificial intelligence. To determine appropriate compositions, processing conditions, microstructures, and characteristics, traditional ceramic research frequently necessitates a great deal of testing. Large experimental and computational datasets can be analyzed by AI and machine-learning algorithms to find relationships that are challenging to find using traditional approaches. The main uses of AI in ceramic materials are reviewed in this work, including composition design, property prediction, processing optimization, microstructure analysis, defect detection, additive manufacturing, energy-efficient processing, and materials discovery. The advantages, limitations, and prospects of AI-assisted ceramic engineering are also discussed. The integration of AI with experimental methods, computational materials science, and automated manufacturing has the potential to significantly reduce development time, cost, and material waste while enabling the design of ceramics with improved performance.

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