EventsMOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published
This submission belongs to the session 03. NANOBIO.MAT-08: Nanotechnology, Biomed. Eng., & Materials Science Congress, Birmingham, London, UK-Fargo, USA, 2022. of the event MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed.
Published date
03 Nov, 2022
Academic Editor
author-avatarHumbert G. Díaz
Citation
Shan He, Applications of Artificial Intelligence in nanoscience., in Proceedings of MOL2NET'22, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 8th ed., 1 January–15 January 2023, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-08-13489
Share
Email
Facebook
Twitter
LinkedIn

Applications of Artificial Intelligence in nanoscience.

Shan He 1,2
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.
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
Manuscript
Emerging Computational Approaches for Antimicrobial Peptide Discovery
Research and Entrepreneurship Opportunities on Artificial Intelligence Applications to Nanoparticles Design for Neurological Diseases Treatment