| Autor: |
D.E.P. Klenam, T.K. Asumadu, M. Vandadi, N. Rahbar, F. McBagonluri, W.O. Soboyejo |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Results in Materials, Vol 19, Iss , Pp 100455- (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2590-048X |
| DOI: |
10.1016/j.rinma.2023.100455 |
| Popis: |
Data science and material informatics are gaining traction in alloy design. This is due to increasing infrastructure, computational capabilities and established open-source composition-structure-property databases increasingly becoming available. Additionally, the popularization of data science techniques and the drive to reduce overall material life-cycle cost by ∼60% have necessitated increased use of the technique. Alloy design is a multi-optimization problem hence the Edisonian approach is no more viable from cost, labour, and time-to-market perspectives. Although, there have been successful application of data science and material informatics in alloy design, there are drawbacks. This review provides a critical assessment of limitations associated with data science and materials informatics to alloy discovery and property characterization. Among these are cost, false positives, over – and underestimation of properties, lack of experimental data to validate simulated results, lack of state-of-the-art facilities in most developing countries and uncertainty modelling. The implications and areas for future research directions are highlighted. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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