Malica, C.
, DeCost, B.
, Novoselov, K.
and Choudhary, K.
(2025),
Artificial Intelligence for Advanced Functional Materials: Exploring Current and Future Directions, Journal of Physics: Materials
(Accessed April 20, 2025)
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Artificial Intelligence for Advanced Functional Materials: Exploring Current and Future Directions
Published
Author(s)
Cristiano Malica, , Kostya Novoselov,
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.Citation
Journal of Physics: Materials
Pub Type
Journals
Citation
Issues
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Created March 18, 2025, Updated April 16, 2025