As one of the first CHART projects, the MagDev activity at PSI designed and built a canted-cosine theta (CCT) demonstrator magnet, wound from Nb3Sn conductor.
The thermal conditions during laser-based additive manufacturing are inferred from high-speed X-ray diffraction data and can be linked to a model for rapid solidification.
New initiatives will develop open data practices in key strategic areas including electron microscopy and materials science at Paul Scherrer Institute PSI.
The ability to start-up in extreme environmental conditions, including sub-freezing temperatures, is essential to the deployment of the fuel cell technology. Water produced in fuel cells at these temperatures can be in the super-cooled state, and freezing can lead to a rapid shutdown, as water cannot be removed anymore as a liquid. By segmenting a fuel cell, it is possible to prevent the propagation of freezing, which enables the cell operation even after the first freezing event occurred.
Optimised by nature over 100 million years of evolution, this smart liquid provides a crucial coupling that ensures cell division correctly proceeds.
Manuel Guizar-Sicairos appointed as Associate Professor at EPF Lausanne and head of the Computational X-ray Imaging group at PSI
Dr. Manuel Guizar-Sicairos, currently Senior Scientist at PSI, was appointed as Associate Professor of Physics in EPF Lausanne and head of the Computational X-ray Imaging group in PSI.
X-ray photoelectron spectroscopy probes the chemical environment in a molecule at a specific atomic site. Now the concept is extended with a site selective trigger to follow chemical bond changes as they occur on the femtosecond time scale.
Artificial intelligence pinpoints cells indicative of Alzheimer’s disease based on DNA packing in mouse brain images, shows study in Nature Communications
The increasing risk of extended electricity supply disruptions and severe electricity price fluctuations strongly motivate an evaluation of electricity supply resilience. In this direction, this research proposes a multicriteria decision support framework to assess resilience at a country level, based on three major dimensions: Resist, Restabilize and Recover. In total, 35 European countries are ranked according to their performance on 17 indicators, through a synergy of MCDA methods, techniques and communication protocols. The assessment framework has been extended to incorporate the Choquet Integral method, in order to accommodate potentially interacting pairs of criteria and negate their arbitrary effects on the final evaluation results. The analysis incorporates country data from credible international databases, as well as the preference information of a European energy expert. The results are envisaged to support energy policymakers in Europe and provide guidelines and areas for improvement at a country level.