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Field
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. To minimise material and energy wastage, digital models of the manufacturing processes can be developed and linked to process control and optimisation. State-of-the-art digital models and AI tools
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at CNRS in the Institute of Chemistry of Media and Materials of Poitiers (IC2MP - UMR CNRS 7285 - https://ic2mp.labo.univ-poitiers.fr/ ) in the Catalysis and Non-conventional media team, under
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-metallic materials by an electron beam Main ideas of the proposed dissertation topic: The aim is to create a geometric, mathematical, and simulation model for the ANSYS program. The geometric model will be
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physical modelling to better understand the physical and chemical phenomena underlying plasmonic activity, with the goal of developing high-performance materials. In this context, the PhD student will be
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characterization platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will
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platform for innovative materials by combining advanced experimental techniques, physics-based mesoscopic modeling, and artificial intelligence. Within this context, high-throughput experiments will provide
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). The project is funded by the French National Research Agency (ANR) through the ePulse2 project (https://anr.fr/Projet-ANR-25-CE08-0397 ), which focuses on two aeronautical materials exhibiting carbides and/or
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discipline Apply: https://mgician.eu/research/doctoral-candidate-projects/dc3/ DC4: Atomistic Modelling and Design of Thermoelectric Materials and Interfaces Host: King’s College London (KCL), London
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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Chemistry of Materials - Biomolecular Engineering - Separation Chemistry, Materials and Processes - Theoretical Chemistry and Modelling With the support of the Doctoral College of the University