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Chiheb Ben Mahmoud is a Departmental Lecturer in Materials Modelling at the University of Oxford. His research focuses on the intersection of atomistic modelling, quantum mechanics, and machine learning (ML). He develops data-driven frameworks to predict macroscopic materials properties directly from atomic structures. By utilizing state-of-the-art atomistic machine learning approaches, Chiheb aims to build transferable models that effectively capture the electronic, dielectric, and spectroscopic behavior of functional materials. His work enables a deeper understanding of how atomic-scale structures govern materials performance. Chiheb is actively involved in new research projects, which are regularly updated to include advancements in AI and functional materials properties.
Department of Politics and International Relations - Higher Level English requirement.