TEJAS Journal of Technologies and Humanitarian Science

Dr. Rekha Sharma
Assistant Professor, Institute of Engineering & Technology, Dr. B.R. Ambedkar University, Agra

Author

Dr. Shalini Sharma
Assistant Professor, Institute of Engineering & Technology, Dr. B.R. Ambedkar University, Agra

Author

Mr. S. Pushpendra
Assistant Professor, Institute of Engineering & Technology, Dr. B.R. Ambedkar University, Agra

Author

Dr. K. Sunil
Assistant Professor, Institute of Engineering & Technology, Dr. B.R. Ambedkar University, Agra

Author

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Abstract:

Laser physics has traditionally required substantial financial resources and specialized equipment, limiting meaningful research participation to well-funded institutions. This study examines how artificial intelligence is transforming access to laser physics through computational experimentation, virtual laboratories, and automated data analysis. Through literature review and case study analysis, we demonstrate that AI-powered simulation environments and machine learning tools are enabling researchers worldwide to contribute to laser physics regardless of institutional resources. Virtual reality laboratories provide experimental experiences without expensive equipment, while AI-assisted analysis tools democratize sophisticated data processing capabilities. However, challenges remain regarding the digital divide, data quality assurance, and maintaining experimental skills alongside computational approaches. Our findings suggest that AI presents unprecedented opportunities for inclusive scientific advancement in laser physics, though careful implementation is essential to preserve research rigor while expanding access

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