黑料社

Quantum technologies promise breakthroughs in everything from clean energy to medical sensors but there鈥檚 a problem: the materials we currently rely on, like silicon and aluminium, are reaching their limits. To power the next generation of quantum devices, scientists need entirely new materials 鈥� ones that can operate under complex, demanding conditions. 

Traditionally, discovering these materials has been a slow process of trial and error in the lab. Now, a team at The University of Manchester, led by Dr Qian Yang, are using artificial intelligence to speed things up. 

Their system doesn鈥檛 just crunch data 鈥� it learns the way physicists think about materials, helping to predict which ones are worth making and testing and even guiding their design and manufacturing. This way, AI acts less like a passive tool and more like an active 鈥榣ab mate鈥�, working alongside the researchers to unlock smarter and faster innovation. 

As Dr Yang explains: 鈥淥ur work is building the materials foundation for the future. From lossless superconductors to clean energy catalysts, new quantum materials will underpin the next wave of scientific and technological progress.鈥�