Graphene is an exceptionally useful material for creating batteries, catalysts, and electronic devices. Yet producing graphene typically requires temperatures as high as 900°C, limiting energy efficiency and making structural control difficult. To make graphene production more practical, a recent study has overcome this long-standing temperature barrier. In a study published in the Journal of the
Machine learning doesn’t replace human intelligence, but it can outlast human endurance, which makes it a very helpful tool for chemistry and material discovery. Scientists know the machine learning models can make predictions based on the vast reams of data it is trained on, but can it take it a step further and massively scale up testing out those predictions? “We already see that AI is powerful
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Until now there was an upper limit to the energy produced by atoms irradiated with laser light. Now UC San Diego researchers have crossed the threshold using helium atoms and intense UV lasers.
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A multidisciplinary team of researchers including computer scientists at UC San Diego has been awarded a $37.5 million grant from the National Science Foundation for a center aimed at designing practical and self-correcting quantum computers from top to bottom,.
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Environment & ClimateQueen Mary University of London
The four projects, funded by the Leverhulme Trust and Wellcome , span all areas of the University and cover topics ranging from healthcare and artificial intelligence to waste management, pollution and sustainable technology. Funded by the Leverhulme Trust, the first of these DTPS will train the next generation of researchers to tackle the global waste crisis through interdisciplinary research and
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