Artificial Intelligence Instruments Applied in Materials Science

Dear Colleagues,

Artificial Intelligence (AI) tools are proving useful in various fields, the best known techniques being neural networks, for regression and classification problems, and evolutionary algorithms, for optimization problems. Modelling with neural networks is recommended in situations where the phenomenology of a process is not precisely known, but input–output data are available, reflecting the dependence between variables. Evolutionary algorithms offer a wide range of methods that can be applied to optimize processes (systems) or models developed for them. Obviously, AI offers other effective tools, inspired by the behavior of humans, animals, or various physical phenomena. Another important aspect is related to the possibility of combining these techniques in hybrid soft-computing configurations that integrate the advantages of the individual techniques. In the field of materials modelling and optimization (and others), AI techniques may allow both materials synthesis and the study of structure–properties relationships.

Topics of interest of this Special Issue include, but are not limited to:

• Modelling with neural networks
• Optimization with evolutionary algorithms
• Hybrid AI techniques
• Other AI activities and techniques applied in the field of materials

Prof. Silvia Curteanu
Guest Editor

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