The demand continues for materials that are stronger, cheaper, lighter, more conductive – simply better.

Smog-eating graphene composite reduces atmospheric pollution

05 December 2019

An international group of scientists, including from the University of Cambridge, have developed a graphene composite that can ‘eat’ common...

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‘Messy’ production of perovskite material increases solar cell efficiency

11 November 2019

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

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Electronic solid could reduce carbon emissions in fridges and air conditioners

09 October 2019

A promising replacement for the toxic and flammable greenhouse gases that are used in most refrigerators and air conditioners has been identified...

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Women in STEM: Sheen Gurrib

19 September 2019

Sheen Gurrib is a PhD candidate in the Department of Materials Science and Metallurgy, where she is researching ways to improve chronic lower back...

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Cells with metal-organic frameworks carrying siRNA

Nanoparticles used to transport anti-cancer agent to cells

17 September 2019

Scientists from the University of Cambridge have developed a platform that uses nanoparticles known as metal-organic frameworks to deliver a...

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Artist's impression of single-nanowire spectrometer

Nanowires replace Newton’s famous glass prism

05 September 2019

Scientists have designed an ultra-miniaturised device that could image single cells without the need for a microscope or make chemical fingerprint...

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AI learns the language of chemistry to predict how to make medicines

03 September 2019

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained...

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Colour-changing artificial ‘chameleon skin’ powered by nanomachines

21 August 2019

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

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Machine learning to help develop self-healing robots that ‘feel pain’

07 August 2019

Researchers from the University of Cambridge will use self-healing materials and machine learning to develop soft robotics as part of a new...

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