Theunique physical properties of carbon nanotubes1 have generatedconsiderable interest and the expectation of new types of materialswith useful practical applications. Theoretical studies suggestedthat the introduction of foreign materials into their hollow cavitieswould have interesting effects both on the properties of the fillingmaterial and the filled nanotubes. This is indeed what we have shownworking on different systems combining single or double-walled carbonnanotubes and different kinds of inorganic materials as nanocrystalswithin the inner channel. This presentation will briefly summarisesome of the most striking results and highlight key conclusionsobtained regarding the impact of the interaction between carbonnanotubes and 1D nanocrystals, and corresponding to more than 30publications to date.

Themain goal will be to discuss about AI approached may be useful inthis field either to provide tools for automatised data analysis ofsets of "complex" data (e.g., TEM images) or even as apredictive tool to guide the synthesis of such hybrid nanomaterialswith desired optimised properties (electrical, optical) andrationalise the synthesis work.