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generation of MOF water adsorbents with optimal indoor air humidity control performance by leveraging state-of- the-art high-throughput (HT) computational screening based on Machine-Learning Interatomic
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the research team; contributing to the optimization of the investigated enhancement geometries; disseminating research outcomes through publications in leading international journals and presentations
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, CeRh2Si2, TbB4 etc.) near metamagnetic transitions and unconventional superconducting phases. Within step 1, magnetization probes will be developed, tested and compared before choosing the most optimal
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experimental trials on metal additive manufacturing processes - Ability to design and execute experimental plans (DoE) for process investigation and optimization - Ability to acquire, process, and analyze
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numerical techniques to study collective states in active matter. Depending on the candidate's profile and interests, the research can involve various aspects of the modeling and the optimal control of active
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from annotated subglacial bedforms; (iii) designing, training, optimizing and assessing deep-learning detection/segmentation models; (iv) producing a database of outlines and morphometric parameters
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to the lab's research aimed at understanding how polyploid cells regulate their optimal size while maintaining their function. This effort is part of the lab's broader project to study ploidy transitions
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of mathematical modeling, with a particular focus on stochastic modeling, optimization and more recently machine learning. Indeed, over the last years, the team’s activity has been marked by a strong shift toward
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and 3D finite element modelling (COMSOL, CST) of the optical control process for materials. -Integration of the optimal compositions into simple test structures to directly evaluate electrical switching
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, and optimizing cleanroom-based micro- and nanofabrication processes dedicated to the fabrication of these MEAs; Integrating the developed bioelectronic devices into microfluidic organ-on-chip platforms