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This document reviews the application of advanced AI algorithms and hardware acceleration in material structure design, emphasizing the role of deep learning in predicting material properties, optimizing structures, and automating knowledge extraction from literature. It discusses the limitations of traditional methods and highlights the advantages of data-driven approaches powered by machine learning and big data. The paper also outlines various deep learning architectures and their applications in materia

Author

Abdullah Subbir

Language

EN