PSI
Better batteries for electric cars
Research
PSI
PSI researchers are using neutrons to make changes in battery electrolytes visible. The analysis enables better understanding of the physical and chemical processes and could aid in development of batteries with better characteristics. The results have now been published in Science Advances.
Immerse yourself in the cytoskeleton
Research
PSI
The human body consists of around 30 trillion cells – all of them highly complex structures with a wide variety of shapes and functions. What they all have in common is the cytoskeleton.
Bringing SwissFEL light to industrial users
TechTransfer
PSI
Pharmaceutical companies have a lot to gain from using light from X-ray free electron lasers (XFELS) to study protein structures, but a barrier is throughput. The Cristallina experimental station at SwissFEL, which recently opened its first call for structural biology users, promises to change that. In an interview, John Beale, who is responsible for macromolecular crystallography at Cristallina, explains how.
Deciphering the secrets of the brain
Research
PSI
A place for cutting-edge research: PSI researchers are to receive funding from the US National Institutes of Health (NIH) as part of its “BRAIN Initiative”. Their aim is to produce a comprehensive map of a mouse’s brain.
3D insights into an innovative manufacturing process
Research
PSI
3D printing can produce highly complex shapes. But printing ceramic objects with the help of a laser is a more difficult challenge. Now researchers at the Paul Scherrer Institute PSI have for the first time taken tomograms revealing what happens at microscopic level during this fabrication process. The findings will help improve this very promising technology.
How trees influence cloud formation
Research
PSI
As part of the international CLOUD project at the nuclear research centre CERN, researchers at PSI have identified so-called sesquiterpenes – gaseous hydrocarbons that are released by plants – as being a major factor in cloud formation. This finding could reduce uncertainties in climate models and help make more accurate predictions. The study has now been published in the journal Science Advances.
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