Artificial Intelligence (AI) in Nanoscience, Engineering and Biomedical Research

Dear Colleagues,

The use of artificial intelligence is now a core part of almost every industry, from materials discovery to biomedical health.

The AI-driven materials discovery process involves predicting the best material for a particular application using machine learning algorithms. New materials that are cheaper, lighter, and stronger than those we currently use can be found this way. Using AI in biomedical health engineering for diagnosis and prognosis is another emerging use of AI.

Optimizing performance, design, or analysis is a complex, multidimensional problem that is challenging to resolve. This problem has been solved by Artificial Intelligence algorithms. These algorithms are able to find the optimal solution without user input, thus minimizing human error and saving research and design time.

As a result of the introduction of AI, the number of data-driven innovations in the medical field has exploded. It has allowed researchers to explore and develop solutions to problems they would have never been able to tackle before. In addition to modeling data, AI is used for generating hypotheses and performing predictive analytics. The latter shows great potential for next-generation materials and biomedical diagnosis and prognosis.

The aim of this Special Issue is to collect recent and cutting-edge developments in AI based engineering. Papers providing original results in AI driven design, fabrication and analysis of materials and AI in biomedical research, or closely related topics, are welcome.

Prof. Dr. Mehdi Keshavarz-hedayati
Guest Editor

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