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to their density, low entanglement, and ability to rapidly self-assemble into highly ordered nanostructures to form a lamellar arrangement, resulting in colored materials (bio-based photonic crystals). From
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lattice orientation by EBSD or local chemical composition by EDX [1]. For instance, an original protocol based on Bayesian inference was recently co-developed by LEM3 and ICA to determine the single-crystal
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(Helmholtz resonators, phononic crystals, structured waveguides). These media offer fine control over dispersion and acoustic energy localization, suggesting a potential amplification of radiation forces. Yet
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Starrydata2). The work will include the implementation of machine learning models (neural networks, random forests, SISSO), generative approaches for predicting crystal structures, the use of machine learning