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Jean-Philippe Poli

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#graph neural networks Review Open access Oct 2026

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. While state‐of‐the‐art methods like neural networks and statistical models face challenges with limited and imperfect data, symbolic AI offers a pr...

Ahmed Amrani, Mohamed-Ali Belloum, L. Boudet et al. · 0 citations
Review Aug 2026

Machine Learning Assisted Design of Complex and High Entropy Alloys by Hybrid HiPIMS/Pulsed-DC PVD Process for Low Carbon Energy Applications in Extreme Environments

Complex and high entropy alloys are attracting much attention currently thanks to their mechanical and corrosion resistance properties in harsh environments, in particular needed for carbon-free energy applications. However, their elaboration in bulk and in thin film form in a trial-and-error approach is impractical du...

Paul Foulquier, Ryma Haddad, Alia A. Mahmoud et al. · 0 citations

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