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AI tackles the challenge of materials structure prediction

27 July 2022

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.

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Venus, from Mariner 10

No signs (yet) of life on Venus

14 June 2022

̽»¨Ö±²¥unusual behaviour of sulphur in Venus’ atmosphere cannot be explained by an ‘aerial’ form of extra-terrestrial life, according to a new study.

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Artistic representation of electrons funneling into high quality areas of perovskite material

Mystery of high-performing solar cell materials revealed in stunning clarity

22 November 2021

Researchers have visualised, for the first time, why perovskites – materials which could replace silicon in next-generation solar cells - are seemingly so tolerant of defects in their structure. ̽»¨Ö±²¥, led by researchers from the ̽»¨Ö±²¥ of Cambridge, are published in the journal Nature Nanotechnology.

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