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of a vast and widespread amount of data are creating new economic and social opportunities in various fields. These developments are also posing numerous new scientific challenges for the optimization
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on the development, theoretical analysis, and optimal implementation of numerical methods for systems governed by multiphysics and multiscale differential models, including the use of parallel computing architectures
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of plastic materials through hot and high-strain-rate compression tests, as well as studying the optimization of plastic deformation processes through numerical simulation. The main goal will be to identify
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consistent with the topics of the Scientific Disciplinary Sector (S.S.D.) in the field of Operations Research. A strong scientific background in numerical optimization is required, including non-smooth and non
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, modeling, and optimization of an innovative air humidification system for proton exchange membrane fuel cells (PEMFCs) for transportation applications. The research will include the refinement
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through comparison of theoretical, numerical, and experimental results. 6.Data analysis, preparation of scientific publications, and dissemination of research Where to apply Website https
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cryogenic conditions; PREFERRED SKILLS: experience in reduced-order modeling (ROM), numerical optimization, and scientific programming (e.g., MATLAB or Python) Eligible destination country/ies for fellows
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) energy storage system for the simulation, analysis, and optimization of its operation within complex energy systems. The model will be used to support predictive energy resource management and the
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between Numerical Analysis and Machine Learning, with a focus on physics-informed machine learning. The goal is to design learning strategies that incorporate the structure of the physical laws governing
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ISTITUTO DI SCIENZE E TECNOLOGIE PER L'ENERGIA E LA MOBILITA' SOSTENIBILI CNR | Italy | 3 months ago
validation of integrated numerical frameworks to support the study and optimization of electrified powertrain (xEV) configurations, based on the integration of multi-physics models and experimental data, aimed