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CM-GAI: Continuum Mechanistic Generative Artificial Intelligence Theory for Data Dynamics
This paper introduces CM-GAI, a continuum mechanics-based theoretical framework that extends optimal transport theory to describe data dynamics. It enables generative tasks with limited data by integrating physical consistency, successfully demonstrated across material, structural, and system-level mechanical engineering problems.