For decades, physicists have struggled to find and classify exotic phases of matter. Now, the EU-funded GAPS project has shown that the properties of some quantum states are impossible to predict. The findings have already led to the discovery of a new phase of matter, offering citizens new materials and technologies.
Studying neutron star systems could tell us a great deal about the universe. However, finding these distant objects and extracting data is a challenge. To address this, an EU-funded project has developed groundbreaking models based on gravitational waves, earning a researcher a prestigious award in the process.
EU-funded researchers have devised a robust and ultra-fast method of generating random numbers that promises to revolutionise the speed and efficiency of computer simulations in applications ranging from particle physics to radiotherapy.
An EU-funded project has demonstrated how highly sensitive magnetometers can be adapted to make faster and more precise measurements than was once thought possible - an example of Europe’s new focus on quantum technologies.
The EU-funded UPECBCG project set out to study the bladder's immune system, with the aim of advancing our understanding of UTI and bladder cancer to improve treatment of these diseases.
By conducting field-work and re-examining museum collections, the EU-funded ARCHOSAUR RISE project has shed new light on how archosaurs and such relatives as the dinosaurs diversified and rose to dominance.
Powerful mathematical modelling and simulation systems are being made accessible to all by an EU-funded project that is driving innovation aimed at addressing societal and environmental challenges.
What do we mean by randomness? EU-funded researchers have come up with new insights into the nature of randomness that could ultimately have application in fields as diverse as lotteries and cryptography.
EU-funded researchers have developed novel mathematical models and tools to better prepare financial markets for the unexpected, addressing many of the shortfalls of classical modelling approaches that dramatically failed to predict the 2008 financial crisis.
