Version 1
: Received: 22 September 2024 / Approved: 23 September 2024 / Online: 24 September 2024 (05:10:21 CEST)
How to cite:
Okunola, A. Harnessing AI in Information Technology to Optimize Nanoparticle Synthesis via Photochemical Methods. Preprints2024, 2024091796. https://doi.org/10.20944/preprints202409.1796.v1
Okunola, A. Harnessing AI in Information Technology to Optimize Nanoparticle Synthesis via Photochemical Methods. Preprints 2024, 2024091796. https://doi.org/10.20944/preprints202409.1796.v1
Okunola, A. Harnessing AI in Information Technology to Optimize Nanoparticle Synthesis via Photochemical Methods. Preprints2024, 2024091796. https://doi.org/10.20944/preprints202409.1796.v1
APA Style
Okunola, A. (2024). Harnessing AI in Information Technology to Optimize Nanoparticle Synthesis via Photochemical Methods. Preprints. https://doi.org/10.20944/preprints202409.1796.v1
Chicago/Turabian Style
Okunola, A. 2024 "Harnessing AI in Information Technology to Optimize Nanoparticle Synthesis via Photochemical Methods" Preprints. https://doi.org/10.20944/preprints202409.1796.v1
Abstract
This study explores the synergistic integration of Artificial Intelligence (AI) in information technology with photochemical methods to optimize nanoparticle synthesis. By leveraging machine learning algorithms and predictive modeling, we demonstrate significant enhancements in the precision, efficiency, and scalability of nanoparticle production. AI-driven analysis of reaction parameters, optical properties, and structural characteristics enables real-time monitoring and adaptive optimization of photochemical reactions.The developed framework utilizes deep learning techniques to correlate reaction conditions with nanoparticle size, shape, and composition, facilitating the synthesis of tailored nanoparticles for various applications. Results show improved monodispersity, increased yield, and reduced synthesis time compared to traditional methods.This innovative approach paves the way for the rapid development of high-performance nanoparticles in fields such as biomedical imaging, energy storage, and catalysis. By harnessing the power of AI in information technology, this research unlocks new possibilities for the precise and efficient synthesis of nanoparticles via photochemical methods.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
