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synthesis method for high-entropy alloy nanoparticles (nano-HEAs) and evaluating their catalytic performance in CO₂ methanation, a key reaction for converting renewable energy into synthetic gas
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with experimental groups. The activities will be centered on engineering of topological states for photonic modes, including non-linear and non-Hermitian effects. Another crucial ingredient will be
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objective is to develop artificial intelligence methods that complement modeling techniques, particularly at the atomic scale, specific to the physical chemistry of materials. In this context
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innovative methods for processing and analyzing 7Tesla MRI images of different modalities and formats (NIFTI, DICOM, etc.) using machine learning and artificial intelligence techniques. These methods will be
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, opportunities and effectiveness of methods for quantifying the environmental impacts of AI The following activities are expected: - conduct between 10 and 20 semi-structured interviews on the ecosystem of French
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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multidisciplinary NUMERIQ project (ANR JCJC) aimed at developing fast and reliable methods in molecular simulations, with a focus on electronic structure simulations in quantum chemistry. Link to the detailed offer
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collaboration. The high-intensity laser-plasma interaction makes it possible to generate powerful and simultaneous neutron and X-ray radiation. The former allow you to probe the elements present in an object
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electrode based on appropriate electrochemical characterizations. Electrochemical methods play a central role in understanding the mechanisms related to a performance drop or degradation. Activities
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-quality factor microcavities, demonstrated room-temperature Bose–Einstein condensation of polaritons, and achieved the first polariton lasers in waveguides. CRHEA (Research Center on Hetero-Epitaxy and its