News & Blog

Dr Hannah Stern awarded the Royal Society University Research Fellowship 2022

Dr. Hannah Stern has been appointed by the Royal Society as a University Research Fellow and will take up her post at the Cavendish Laboratory from the start of October. ...

31 August 2022

Machine learning algorithm predicts how to get the most out of electric vehicle batteries

Researchers 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.

23 August 2022

A technique to guide the development of faster and longer lasting next-generation batteries

Clean and efficient energy storage technologies are essential to establishing a renewable energy infrastructure. Lithium-ion batteries are already dominant in personal electronic devices, and are promising candidates for reliable grid-level...

16 August 2022

Meet our Physics NanoFutures Scholars for 2022

The NanoFutures Scholars undergraduate research programme encourages talented students from diverse backgrounds to get a high quality research experience during an 8-week summer research internship at the EPSRC CDT in...

11 August 2022

CiW – Inspiring future women role models

Cavendish Inspiring Women (CiW) mission is to raise visibility of many leading women academics, entrepreneurs, business women and women in industry who come from physics backgrounds. These women play an important...

3 August 2022

Isaac Physics Teacher Symposium 2022

This year the Teacher’s Symposium was held in-person at The Cavendish Laboratory. The free two day event was for Physics and A level Maths teachers, who currently use Isaac Physics...

27 July 2022

AI tackles the challenge of materials structure prediction

Researchers 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.

27 July 2022

Astronomers develop novel way to ‘see’ first stars through fog of early Universe

A team of astronomers has developed a method that will allow them to ‘see’ through the fog of the early Universe and detect light from the first stars and galaxies.

21 July 2022