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sustainable fluorination reactions. Under the supervision of Dr. Chris Ewels, a CNRS Research Director and expert in DFT modeling of nanocarbon materials, the postdoc will lead Work Package 2 (WP2), which aims
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. Here the isotropic in-plane electronic structure of a 2D direct-gap semiconductor is interfaced with the anisotropic, flat-band–influenced electronic landscape of a quasi-1D material. These dimensional
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used in various applications (packaging, automotive parts, medical devices, etc.). However, its chemical inertness and the strength of its C-C and C-H bonds make its chemical transformation particularly
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of materials under pressure, with a view to identifying and formalizing rules and concepts; - Applying the DFT/MLIP “Crystal Structure Prediction CSP” methodology to various issues addressed by the research
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Bibliographic research on novel material
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(physics, Earth sciences, biology, chemistry, computer science, etc.). It addresses a wide range of experimental and theoretical research topics, such as elucidating the structure of materials and
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for homogeneous photocatalysis. Physico-chemical characterization Structural, optical, and electronic analysis of materials (spectroscopies, microscopies, electrochemistry, etc.) to establish structure–property
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compositions (carbon, metal alloys, oxides, clays, polymers). The laboratory develops and characterizes these materials, seeking to understand and control their architecture (structure, organization
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renewable energy, the challenge lies in efficiently converting it for use. Energy harvesting conversion is thus crucial for this transition, and advances in materials science, particularly ferroelectric
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and