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  5. Artificial intelligence for advanced functional materials: Exploring current and future directions

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Article
English
2025

Artificial intelligence for advanced functional materials: Exploring current and future directions

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English
2025
Journal of Physics Materials
DOI: 10.1088/2515-7639/adc29d

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Konstantin ‘kostya’  Novoselov
Konstantin ‘kostya’ Novoselov

The University of Manchester

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Cristiano Malica
Konstantin ‘kostya’ Novoselov
Amanda S. Barnard
+24 more

Abstract

This 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.

How to cite this publication

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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Publication Details

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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