1. Deep learning-guided femtosecond laser processing in optical materials and devices for nano fabrication advancements.
- Author
-
Mohanavel, V., Gandhimathi, G., Bhardwaj, Diwakar, Kavitha, M., Ramkumar, Govindaraj, Ishwarya, M. V., and Ali, Mohammed
- Subjects
- *
OPTICAL materials , *OPTICAL devices , *MANUFACTURING processes , *FEMTOSECOND lasers , *DEEP learning , *LASER pulses - Abstract
This research paper explores the integration of AlexNet-guided femtosecond laser processing (GFLP) techniques in optical materials and devices to achieve significant advancements in nanofabrication. The combination of deep learning, specifically utilizing the AlexNet architecture, and ultrafast laser processing offers a novel approach for precise and efficient manipulation of materials at the nanoscale. The paper presents a comprehensive investigation of the synergistic effects of deep learning and femtosecond laser processing on various optical materials, highlighting their potential for creating intricate nanostructures and improving device performance. Experimental results demonstrate the enhanced precision, speed, and versatility of this approach compared to traditional methods. Moreover, the study sheds light on the underlying mechanisms governing the interaction between laser pulses and materials, providing valuable insights for further optimization and applications in emerging fields such as photonics, optoelectronics, and quantum technology. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF