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Machine Learning in Material Characterization

Journal: International Journal of Trend in Scientific Research and Development (Vol.5, No. 6)

Publication Date:

Authors : ;

Page : 260-263

Keywords : machine learning; material characterization; artificial neural networks; artificial intelligence;

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Abstract

Machine learning has shown great potential applications in material science. It is widely used in material design, corrosion detection, material screening, new material discovery, and other fields of materials science. The majority of ML approaches in materials science is based on artificial neural networks ANNs . The use of ML and related techniques for materials design, development, and characterization has matured to a main stream field. This paper focuses on the applications of machine learning strategies for material characterization. Matthew N. O. Sadiku | Guddi K. Suman | Sarhan M. Musa "Machine Learning in Material Characterization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd46392.pdf Paper URL : https://www.ijtsrd.com/engineering/electrical-engineering/46392/machine-learning-in-material-characterization/matthew-n-o-sadiku

Last modified: 2022-02-28 18:08:32