International Journal on Science and Technology
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Volume 16 Issue 1
2025
Indexing Partners
AI-Driven Cross-Disciplinary Synergies in Advancing Femto Technology
Author(s) | Dr. N. Vijaya Lakshmi |
---|---|
Country | India |
Abstract | Femto technology, a speculative concept involving engineering at the femtometer scale (10⁻¹⁵ meters), explores the manipulation of quarks and gluons—the fundamental building blocks of matter. This paper investigates the transformative role of Artificial Intelligence (AI) in advancing femto technology through cross-disciplinary integration. By bridging domains such as quantum computing, nanotechnology, particle physics, material science, computational chemistry, and ethics, AI facilitates breakthroughs in modeling, simulation, and material discovery. The discussion highlights how AI accelerates progress, unifies theoretical and practical approaches, and addresses challenges associated with femto-scale innovations. |
Keywords | Artificial Intelligence, Femto Technology, Quantum Computing, Nanotechnology, Particle Physics, Material Science, Computational Chemistry, Ethical Integration |
Field | Physics |
Published In | Volume 16, Issue 1, January-March 2025 |
Published On | 2025-01-06 |
Cite This | AI-Driven Cross-Disciplinary Synergies in Advancing Femto Technology - Dr. N. Vijaya Lakshmi - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.1326 |
DOI | https://doi.org/10.71097/IJSAT.v16.i1.1326 |
Short DOI | https://doi.org/g82pcm |
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