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Can cosmic inflation be ruled out?

“Astrophysicists say that cosmic inflation – a point in the Universe’s infancy when space-time expanded exponentially, and what physicists really refer to when they talk about the ‘Big Bang’ – can in principle be ruled out in an assumption-free way. The …

New approach to ‘cosmic magnet’ manufacturing could reduce reliance on rare earths in low-carbon technologies

“Researchers have discovered a potential new method for making the high-performance magnets used in wind turbines and electric cars without the need for rare earth elements, which are almost exclusively sourced in China. A team from the University of Cambridge …

Artificial intelligence powers record-breaking all-in-one miniature spectrometers

“Using Artificial Intelligence (AI) to replace optical and mechanical components, researchers have designed a tiny spectrometer that breaks all current resolution records. We see light and colours around us every day. However, to analyse the information it carries, we must …

Watching lithium in real time could improve performance of EV battery materials

“Researchers have found that the irregular movement of lithium ions in next-generation battery materials could be reducing their capacity and hindering their performance. The team, led by the University of Cambridge, tracked the movement of lithium ions inside a promising …

New evidence for liquid water beneath the south polar ice cap of Mars

“An international team of researchers has revealed new evidence for the possible existence of liquid water beneath the south polar ice cap of Mars. The researchers, led by the University of Cambridge, used spacecraft laser-altimeter measurements of the shape of …

New phases of water detected

“Scientists at the University of Cambridge have discovered that water in a one-molecule layer acts like neither a liquid nor a solid, and that it becomes highly conductive at high pressures. Much is known about how ‘bulk water’ behaves: it …

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. The researchers, from the University of Cambridge …

Algorithm learns to correct 3D printing errors for different parts, materials and systems

“Engineers have created intelligent 3D printers that can quickly detect and correct errors, even in previously unseen designs, or unfamiliar materials like ketchup and mayonnaise, by learning from the experiences of other machines. The engineers, from the University of Cambridge …

Smart lighting system based on quantum dots more accurately reproduces daylight

“Researchers have designed smart, colour-controllable white light devices from quantum dots – tiny semiconductors just a few billionths of a metre in size – which are more efficient and have better colour saturation than standard LEDs, and can dynamically reproduce daylight conditions …

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 …