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November 27, 2024
Scientists quantify aerosols based on sea state
A research team led by EPFL scientists has developed a system that provides key insight into the relationship between sea spray aerosols, sea state and atmospheric conditions. The system was mounted on an icebreaker and carried across vast regions of the Arctic to collect and analyze valuable data.
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August 5, 2024
X-ray world record: Looking inside a microchip with 4 nm precision
In a collaboration with EPFL Lausanne, ETH Zurich and the University of Southern California researchers at the Paul Scherrer Institute PSI have used X-rays to look inside a microchip with higher precision than ever before. The image resolution of 4 nanometres marks a new world record. The high-resol
July 23, 2024
Opening a window on environmental phenomena
Data collected by satellites, drones, radars and microscopes provide a goldmine of information to better understand our environment. And when these data are coupled with artificial intelligence (AI), they can unlock the secrets of phenomena taking place at all levels.
July 17, 2024
3D visualization brings nuclear fusion to life
EPFL was selected by the EUROfusion consortium to develop an advanced visualization system for a preliminary process in nuclear fusion. The system is designed to turn reams of simulation and testing data into real-time graphics worthy of today’s advanced video games.
July 15, 2024
A multilayer cantilever for nanoscale sensing
An innovative layered concept for nanoscale sensing devices, developed by an EPFL postdoc, promises to bring greater speed, sensitivity, and functionality to applications ranging from semiconductor manufacturing to medical diagnostics.
July 4, 2024
AI matches protein interaction partners
Scientists at EPFL unveil DiffPALM, an innovative AI method that enhances the prediction of protein interactions and our understanding of biological processes potentially relevant to medical applications.
July 2, 2024
A collaboration to push the boundaries of cosmos mapping
EPFL officially joined the Multi Spectroscopic Telescope (MUST) project, led by China’s Tsinghua University, as a founding member. This flagship project will enable scientists to better understand the young universe, dark energy and dark matter.
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