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Get Free AccessThis perspective addresses the topic of harnessing the tools of Artificial Intelligence (AI) for boosting innovation in functional materials design and engineering as well as discovering new materials for targeted applications in biomedicine, composites, nanoelectronics or quantum technologies. It gives a current view of experts in the field, insisting on challenges and opportunities provided by the development of large materials databases, novel schemes for implementing AI into materials production and characterization as well as progress in the quest of simulating physical and chemical properties of realistic atomic models reaching the trillion atoms scale and with near ab initio accuracy.
Cristiano Malica, Konstantin ‘kostya’ Novoselov, Amanda S. Barnard, Sergei V. Kalinin, Steven R. Spurgeon, Karsten Reuter, M. Alducin, Volker L. Deringer, Gábor Csányi, Nicola Marzari, Shirong Huang, Gianaurelio Cuniberti, Qiushi Deng, Pablo Ordejón, Ivan Cole, Kamal Choudhary, Kedar Hippalgaonkar, Ruiming Zhu, O. Anatole von Lilienfeld, Mohamed Hibat-Allah, J. Álvarez, Giulia Cisotto, Alberto Zancanaro, Wolfgang Wenzel, Andrea C. Ferrari, A. Ustyuzhanin, Stephan Roche (2025). Artificial intelligence for advanced functional materials: Exploring current and future directions. Journal of Physics Materials, DOI: 10.1088/2515-7639/adc29d.
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Type
Article
Year
2025
Authors
27
Datasets
0
Total Files
0
Language
English
Journal
Journal of Physics Materials
DOI
10.1088/2515-7639/adc29d
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