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What if a formation of wind turbines could learn to maximise airflows generated from the movement of other machines to improve their efficiency? What if planes could learn to fly to avoid turbulence? ERC grantee Philippe Chatelain uses artificial intelligence and solutions inspired by nature to answer these questions.
Emulsions play a key role both in natural and industrial processes, as they allow the combination of two liquids that do not normally mix and make the blend stable. Yet, when materials solidify or freeze, the complex interactions that take place and affect the final microstructure of the solidified components, are still poorly understood. ERC grantee Sylvain Deville and his team at CNRS have showed that it is possible to use an optical imaging technique to study the freezing of emulsions while the process takes place, a novel method presented in the prestigious journal Science.
Solar power is potentially an almost limitless resource. The sun provides enough energy in one minute to supply the world’s energy needs for one year. But turning this resource into affordable electricity is difficult – silicon-based solar cells still suffer from a decline in their effectiveness over time. Through her ERC-funded SOLARX project, Professor Hele Savin, of Aalto University in Finland, is investigating a possible route to solving this problem.