Mechanoluminescence Smart Materials in Artificial Intelligence Tool Applications

Author(s): Dr. Rajkumar Goutam and Dr. Ajay Kumar Baghel

Abstract:

Mechanoluminescence (ML), a remarkable smart luminescence phenomenon, involves the direct production of light energy from mechanical force. This intrinsic ability has garnered substantial attention for its profound implications in contemporary applications, particularly in visible strain sensing and structural health monitoring. Concurrently, the rapid evolution of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) has ushered in a new era for materials science, fundamentally transforming the traditional, often laborious, trial-and-error methodologies. The synergistic integration of AI with ML materials is poised to revolutionize their entire lifecycle, from accelerating their discovery and optimizing their design and synthesis to enhancing the precision of data processing and interpretation derived from their emitted light. This convergence significantly amplifies the performance capabilities of ML materials, enabling advanced functionalities such as real-time, non-contact stress visualization, highly accurate damage detection, and the development of novel applications across diverse sectors. Prominent areas benefiting from AI-enhanced ML materials include structural health monitoring (SHM), sophisticated wearable devices, advanced robotics, and cutting-edge bio-imaging. While the immense potential of this interdisciplinary field to drive technological advancements is undeniable, it is imperative to acknowledge the existing challenges. These include inherent material performance limitations, such as weak brightness and issues with durability, as well as the complexities associated with real-time AI integration and efficient data processing. Addressing these challenges will be critical for the widespread adoption and continued innovation in this dynamic domain.

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