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Applications of Artificial Intelligence in nanoscience.
1  Department of Organic and Inorganic Chemistry, Faculty of Science and Technology, University of the Basque Country UPV/EHU, P.O.Box 644, 48080 Bilbao, Spain.
2  IKERDATA S.L, ZITEK, UPV/EHU, Rectorate Building, n0 6, Leioa, Greater Bilbao, Basque Country, Spain.
Academic Editor: Humbert G. Díaz

Abstract:

Machine learning (ML) has gained extensive attention in recent years due to its powerful data analysis capabilities. It has been successfully applied to many fields such as chemical, pharmaceutical, biological etc. This powerful tool helped the researchers to achieve several major theoretical and applied breakthroughs. Some of the notable applications in the field of computational nanotechnology are ML potentials, property prediction, and material discovery. Therefore, In this review different type of application of machine learning in nanotechnology will be discussed.

Keywords: Machne Learning, Artificial Intelligence, Predictive task, Nanotechnology, Nanoscience, Nanomedicine
Comments on this paper
Shan He
Dear authors thank you for your support to the conference.
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