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Artificial Intelligence in Materials Modeling and Design

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Abstract

In recent decades, the use of artificial intelligence (AI) techniques in the field of materials modeling has received significant attention owing to their excellent ability to analyze a vast amount of data and reveal correlations between several complex interrelated phenomena. In this review paper, we summarize recent advances in the applications of AI techniques for numerical modeling of different types of materials. AI techniques such as machine learning and deep learning show great advantages and potential for predicting important mechanical properties of materials and reveal how changes in certain principal parameters affect the overall behavior of engineering materials. Furthermore, in this review, we show that the application of AI techniques can significantly help to improve the design and optimize the properties of future advanced engineering materials. Finally, a perspective on the challenges and prospects of the applications of AI techniques for material modeling is presented.

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Acknowledgements

The work described in this paper was fully supported by grants from the Research Grants Council (RGC) of the Hong Kong Special Administrative Region, China (Project No. 9042644, CityU 11205518), and National Natural Science Foundation of China (NSFC) (Grant No. 51378448).

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  1. J. S. Huang and J. X. Liew these authors contributed equally to this work.

Authors and Affiliations

  1. Department of Architecture and Civil Engineering, City University of Hong Kong, Kowloon, Hong Kong SAR, China

    J. S. Huang & K. M. Liew

  2. Faculty of Applied Science, University of British Columbia, Kelowna, BC, V1V 1V7, Canada

    J. X. Liew

  3. Zienkiewicz Centre for Computational Engineering, College of Engineering, Swansea University, Bay Campus, Swansea, SA1 8EN, United Kingdom

    A. S. Ademiloye

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J.S.H. performed the work. J.X.L. initiated the research topic. A.S.A. and K.M.L. supervised the work. J.S.H., J.X.L., A.S.A. and K.M.L. wrote the manuscript.

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Correspondence to K. M. Liew.

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Huang, J.S., Liew, J.X., Ademiloye, A.S. et al. Artificial Intelligence in Materials Modeling and Design. Arch Computat Methods Eng 28, 3399–3413 (2021). https://doi.org/10.1007/s11831-020-09506-1

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