Discovery means simpler and cheaper manufacturing methods are actually beneficial for the material’s use in next-generation solar cells or LED lighting.

Vidhi is a PhD candidate at the Cavendish Laboratory, a Turing Scholar, and a member of Christ’s College. Here, she tells us about growing up in Madras, her research in machine learning and leaving the world of finance for academia.

Cambridge scientists are set to benefit from a major cash injection from Cancer Research UK and partners to develop radical new strategies and technologies to detect cancer at its earliest stage.

Researchers have successfully used sound waves to control quantum information in a single electron, a significant step towards efficient, robust quantum computers made from semiconductors.

Queloz jointly wins the 2019 Physics Nobel for his work on the first confirmation of an exoplanet – a planet that orbits a star other than our Sun. 

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained chemists and suggests ways to make complex molecules, removing a significant hurdle in drug discovery.

Verity Allan is a graduate of Cambridge, Oxford, and The Open University. She is a PhD candidate at the Cavendish Laboratory and works as a project manager and programmer on the software for the Square Kilometre Array, the world's largest radio telescope.

Researchers have developed artificial ‘chameleon skin’ that changes colour when exposed to light and could be used in applications such as active camouflage and large-scale dynamic displays.

Dr Anita Faul is a Teaching Associate at the Cavendish Laboratory and a Fellow of Selwyn College, where she specialises in algorithms. Here, she tells us about what it's like to teach at Cambridge and whether we can trust the answers that computers give us.