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problem. The ATHENA project (intelligent Automation of THErmodynamic cycles for a New energy Approach) aims to develop a new generation of digital tools capable of automatically designing innovative
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the project partners: the LCOMS and PERSEUS laboratories and the hospitals of Strasbourg. This thesis is part of the ANR THERAPEUTIC project, which aims to develop a hybrid digital environment for
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materials: conception, design and applications; development of natural products and industrial applications. - MIM: inorganic molecules and porous materials: synthesis, properties and characterisation It is
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PhD position: Nanoengineering refractory compositionally complex alloys for extreme conditions (M/F)
the University of Arizona (U of A), within the framework of a CNRS–U of A doctoral program supported by the International Research Center (IRC) for Global Grand Challenges. This PhD aims to develop and investigate
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dispersion and stabilization of Cu active species, efficient charge carrier separation, and visible-light harvesting. It will contribute to developing efficient, stable, and cost-effective photocatalytic
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to monitoring scientific progress and defining short-term objectives. More informal discussions will also take place as needed, particularly during intensive phases of numerical development or data analysis
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, whilst interacting with a wider, interdisciplinary team within the GEOSIC project. Collaborations within the GEOSIC project are foreseen, with a postdoc in international law who will lead the development
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of free carbenes with luminescent properties have been reported in the literature. Our team recently developed a synthetic approach to the imidazolium salts incorporating conventional organoboron and
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) to characterize the POSS-based porous liquids developed within the project; (ii) to study the sorption of gases (CO₂, H₂, N₂, CH₄) and vapors (water and solvents with increasing polarity); (iii) to understand
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control laws (SINDy or genetic programming) guided directly by the instability mechanisms identified. -Objective 3: Development of reduced-order models integrating control effects directly, enabling