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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | 14 days ago
relationships of such aerospace materials as metals, intermetallics, ceramics, polymers, nano-structural, materials, bio-materials, composites and coatings. Examples of the work will vary depending on each
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Programme Grant project called “Electrical Composites” (EleComp) that involves eleven academics from Imperial College London, University of Bristol and Durham University. The successful applicant will work
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manipulating these affect the nanoscale chemical and structural composition of perovskite thin-films. Through gaining understanding and control of these systems from the nanoscale, this project aims to deliver
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. The research project focuses on the development of solid electrode composites, so-called boosters, for next-generation redox-targeted flow batteries. In these systems, soluble redox mediators dissolved in
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multispectral and hyperspectral UVvisible imaging and synchrotron X-ray analysis to map photoluminescent signatures, analyze elemental composition (heavy metals, rare earth elements, etc.) and the chemical
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encouraged to apply. Our laboratory develops and applies NMR methods - particularly solid-state NMR - to reveal molecular composition, structure, interactions, and chemical modifications in complex biological
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you can grow your research career and belong. You will: Develop autonomous simulation agents that predict Li-ion conductivity and related properties for candidate compositions, returning a value, an
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Conversion focuses on materials and device innovation for sustainable energy conversion and storage technologies. The research project focuses on the development of solid electrode composites, so-called
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with studying linear and differential cryptanalysis. Then, a particular attention will be taken at differential-linear attacks or more generally at statistical or composite attacks. We will, after having
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research on advanced nanomaterials for polymer, metal, and ceramic composite systems. The successful candidate will develop scalable processing approaches for incorporating one-dimensional (1D) and two