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
International Journal of Trend in Scientific Research and Development (IJTSRD)
Volume 5 Issue 6, September-October 2021 Available Online: www.ijtsrd.com e-ISSN: 2456 – 6470
@ IJTSRD | Unique Paper ID – IJTSRD46392 | Volume – 5 | Issue – 6 | Sep-Oct 2021
Page 260
Machine Learning in Material Characterization
Matthew N. O. Sadiku, Guddi K. Suman, Sarhan M. Musa
Roy G. Perry College of Engineering, Prairie View A&M University, Prairie View, Texas
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.
KEYWORDS: machine learning, material characterization, artificial
neural networks, artificial intelligence
How to cite this paper: 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,
pp.260-263,
URL:
www.ijtsrd.com/papers/ijtsrd46392.pdf
Copyright © 2021 by author(s) and
International Journal of Trend in
Scientific Research and Development
Journal. This is an
Open Access article
distributed under the
terms of
the Creative Commons
Attribution License (CC BY 4.0)
(http://creativecommons.org/licenses/by/4.0)
1. INTRODUCTION
The rapid growth of material data from experiments,
computations, and simulations is expanding beyond
processable amounts. This massive amount of data
may be due to the number of samples collected over
time via