No images? Click here NEWSNanoplasmonic imaging reveals real-time protein secretion EPFL researchers have used a nanoplasmonics approach to observe the real-time production of cell secretions, including proteins and antibodies; an advancement that could aid in the development of cancer treatments, vaccines, and other therapies.Engineering molecular interactions with machine learning By using deep learning-generated ‘fingerprints’ to characterize millions of protein fragments, EPFL researchers have computationally designed novel protein binders that attach seamlessly to key targets, including the SARS-CoV-2 spike protein.Insights into efficient solar cells from earth-abundant elements The School of Engineering’s Laboratory of Semiconductor Materials (LMSC), led by Anna Fontcuberta i Morral, has recently published an article on the potential of zinc phosphide, a semiconductor made of earth-abundant elements, for solar cell production.Cryo-imaging lifts the lid on fuel cell catalyst layers Thanks to a novel combination of cryogenic transmission electron tomography and deep learning, EPFL researchers have provided a first look at the nanostructure of platinum catalyst layers, revealing how they could be optimized for fuel cell efficiency.
Engineering discovery and fun at the EPFL Open Days Members of the public enjoyed more than 20 engaging and educational activities on a wide variety of engineering topics, animated by researchers from the School of Engineering, at the 2023 edition of the EPFL Open Days on April 29 and 30.Read more about the School of Engineering Read all the news from the School of Engineering and learn more about Demetri Psaltis, who has long been known as a pioneer in the field of optical neural networks, about Uisub Shin who received Predoctoral Achievement Award, and much more... |