Artificial Intelligence in Materials Science

Authors

  • Matthew N. O. Sadiku Prairie View A&M University, U.S.A
  • Guddi K. Suman Prairie View A&M University, U.S.A
  • Sarhan M. Musa Prairie View A&M University, U.S.A

DOI:

https://doi.org/10.31695/IJASRE.2021.34057

Keywords:

Artificial Intelligence, Machine Learning, Materials, Research

Abstract

Artificial intelligence (AI) is changing the way we discover new materials. The emergence of AI brings a new dawn to the development of material science. It enables material researchers to harness the power of machine learning and artificial intelligence to develop a system that autonomously discovers new materials. AI is also helping materials scientists and engineers to revolutionize the way of understanding and discovering materials used in applications ranging from aerospace engineering to soft robotic prosthetics. This paper provides an introduction to the uses of AI in materials science.

References

M. N. O. Sadiku, Computational Electromagnetics with MATLAB. Boca Raton: CRC Press, 4th ed., 2019, p. 1.

R. Batra, “Accurate machine learning in materials science facilitated by using diverse data sources,” Nature, January 2021, pp. 524-525.

M. N. O. Sadiku, "Artificial intelligence", IEEE Potentials, May 1989, pp. 35-39.

S. Greengard, “What is artificial intelligence?” May 2019,

https://www.datamation.com/artificial-intelligence/what-is-artificial-intelligence.html

https://in.pinterest.com/pin/828662400161409072/

Y. Mintz and R. Brodie, “Introduction to artificial intelligence in medicine,” Minimally Invasive Therapy & Allied Technologies, vol. 28, no. 2, 2019, pp. 73-81

M. Todorovic, “Artificial intelligence for materials research,”

https://my courses.aalto.fi/course/view.php?id=15280

B. L. DeCost, et al., “Scientific AI in materials science: A path to a sustainable and scalable paradigm,” Machine Learning: Science and Technology, volume1, no. 3, July 2020.

M. Annunziata, “Mind over matter: Artificial intelligence can slash the time needed to develop new materials,” December 2018,

https://www.forbes.com/sites/marcoannunziata/2018/12/03/mind-over-matter-artificial-intelligence-and-materials-science/?sh=3b088153e9db

J. Schmidt et al., “Recent advances and applications of machine learning in solid-state materials science,” npj Computational Materials, vol. 5, no. 83, 2019.

W. Sha, et al., “Artificial intelligence to power the future of materials science and engineering,” Advanced Intelligent System, February 2020

C. P. Gomes, B. Selman, and J. M. Gregoire, “Artificial intelligence for materials discovery,” MRS Bulletin, vol. 44, 2019, pp. 538–544.

Y. Cheng, T. Wang and G. Zhang (eds.), Artificial Intelligence for Materials Science. Springer 2021.

R. J. Harrison and L. D. Roth (eds.), Artificial Intelligence Applications in Materials Science: Proceedings. ‎ Tms, 1987

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How to Cite

Matthew N. O. Sadiku, Guddi K. Suman, & Sarhan M. Musa. (2021). Artificial Intelligence in Materials Science. International Journal of Advances in Scientific Research and Engineering (IJASRE), ISSN:2454-8006, DOI: 10.31695/IJASRE, 7(8), 77–81. https://doi.org/10.31695/IJASRE.2021.34057

Issue

Vol. 7 No. 8 (2021): August-2021

Section

Articles

License

Copyright (c) 2021 Matthew N. O. Sadiku, Guddi K. Suman, Sarhan M. Musa

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.