Sivan, Dawn and Kumar, K. Satheesh and Aziman, Abdullah and Raj, Veena and Izan Izwan, Misnon and Ramakrishna, Seeram and Jose, Rajan (2024) Advances in materials informatics: A review. Journal of Materials Science, 59. pp. 2602-2643. ISSN 0022-2461 (Print); 1573-4803 (Online). (Published)
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Abstract
Materials informatics (MI) is aimed to accelerate the materials discovery using computational intelligence and data science. Progress of MI depends on the strength of database and artificial intelligence protocols comprising machine learning (ML) and deep learning (DL) frameworks. Conventional ML models are simple and interpretable, relying on statistical techniques and algorithms to learn patterns and make predictions with limited data. Conversely, DL, an advancement of ML, employs mathematical neural networks to automatically extract features and handle intricate data at the cost of data size and computational complexity. This work aims to provide a state-of-the-art understanding of the tools, data sources and techniques used in MI and their benefits and challenges. We evaluate the growth of MI through its subfields and track the main path of its advancement for artificial intelligence-driven materials discovery. The advancements in computational intelligence via machine learning and deep learning algorithms in different fields of materials science are discussed. As a specific example, understanding of materials properties using microstructural images is reviewed. Future demands and research prospects in materials science utilizing materials informatics have also been comprehensively analyzed.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Learning algorithms; Learning systems; Materials properties; Neural networks |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Faculty/Division: | Faculty of Industrial Sciences And Technology Institute of Postgraduate Studies Faculty of Computing |
| Depositing User: | Mrs Norsaini Abdul Samat |
| Date Deposited: | 23 Feb 2024 04:00 |
| Last Modified: | 04 Mar 2024 00:29 |
| URI: | http://umpir.ump.edu.my/id/eprint/40459 |
| Download Statistic: | View Download Statistics |
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