Here come the girls: getting more women into STEM
10 Feb 2023Ahead of International Day of Women and Girls in Science, Professor Dame Athene Donald sat down to speak about her trial blazing career.
News from the Cavendish Laboratory.
Researchers devise a new path toward ‘quantum light’
02 Feb 2023Researchers have theorised a new mechanism to generate high-energy ‘quantum light’, which could be used to investigate new properties of matter at the atomic scale.
Cambridge researchers awarded European Research Council Consolidator Grants
31 Jan 2023Eight researchers from the University of Cambridge have won European Research Council (ERC) Consolidator Grants
Gone fishing: highly accurate test for common respiratory viruses uses DNA as ‘bait’
16 Jan 2023A new test that ‘fishes’ for multiple respiratory viruses at once using single strands of DNA as ‘bait’, and gives highly accurate results in under an hour, has been developed by Cambridge researchers.
Webb telescope reaches new milestone in its search for distant galaxies
09 Dec 2022New findings confirm that JWST has surpassed the Hubble telescope in its ability to observe the early Universe
Non-detection of key signal allows astronomers to determine what the first galaxies were – and weren’t – like
28 Nov 2022Researchers have been able to make some key determinations about the first galaxies to exist, in one of the first astrophysical studies of the period in the early Universe when the first stars and galaxies formed, known as the cosmic dawn.
Watching lithium in real time could improve performance of EV battery materials
14 Oct 2022Researchers have found that the irregular movement of lithium ions in next-generation battery materials could be reducing their capacity and hindering their performance.
Nobel Laureates of Cambridge
30 Sep 2022What’s it like to win a Nobel Prize? Does it always come as a surprise? How does it change your life? Professor Didier Queloz, winner of the 2019 Nobel Prize in Physics, reflects on what he says was a turning point for him.
Machine learning algorithm predicts how to get the most out of electric vehicle batteries
23 Aug 2022Researchers have developed a machine learning algorithm that could help reduce charging times and prolong battery life in electric vehicles by predicting how different driving patterns affect battery performance, improving safety and reliability.
AI tackles the challenge of materials structure prediction
27 Jul 2022Researchers have designed a machine learning method that can predict the structure of new materials with five times the efficiency of the current standard, removing a key roadblock in developing advanced materials for applications such as energy storage and photovoltaics.
