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Imperial College in particular with Prof. Ifan Stephens. Although lithium-ion batteries are a major and widely used technology for electrochemical energy storage, their energy density is limited by
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on the determination of density, dynamic viscosity, and kinematic viscosity. The additives will be added to the oils at predetermined ratios in order to objectively assess their influence on the monitored properties
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calculations will be. The mathematical model will be defined based on the shape of the heat source and the heat flow density. At the same time, it is essential to consider the thermophysical and mechanical
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density minimises the risk of contamination by background objects and maximises the chances of finding globular-cluster-rich objects, for which numerous follow-up studies may be done. - study the spatial
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Centre National de la Recherche Scientifique - CNRS UMR 6614 | Saint Etienne du Rouvray, Haute Normandie | France | 3 days ago
challenges currently prevent the implementation of hydrogen as a chemical energy carrier in energy systems. Among others, higher specific energy density of hydrogen (~120 MJ/kg versus 50 MJ/kg for methane) is
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understanding of new flame-retardant electrolyte for sodium-ion (Na-ion) batteries. Where to apply Website https://skk.erecruiter.pl/Offer.aspx?oid=4802759&cfg=f9259847cda849b087ecf2d046… Requirements Research
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control and quantum computations. Current research topics in the group include density functional theory calculations of atomic and molecular systems on surfaces, inclusion of electronic correlations
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of new flame-retardant electrolyte for sodium-ion (Na-ion) batteries Where to apply Website https://skk.erecruiter.pl/Offer.aspx?oid=4802762&cfg=f9259847cda849b087ecf2d046… Requirements Research
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trajectories (e.g. mixed stands, species diversification, modified stand density, innovative regeneration strategies) are being deployed at large scale across France. However, their impacts on the structure and
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performance, yet their atomic-scale origin and role in reactivity remain poorly understood. The project addresses this open problem by integrating high-throughput Density Functional Theory, machine-learning