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A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon capture and sequestration, …
Advances in biological imaging have given scientists unprecedented datasets with extremely high resolutions, yet data interpretation tools are working overtime to keep up. This is particularly evident in the case …
The use of artificial intelligence (AI) to help collect, understand and analyze large sets of information has the potential to revolutionize our ability to observe, understand and predict processes in …
Designing a battery is a three-part process. You need a positive electrode, you need a negative electrode, and — importantly — you need an electrolyte that works with both electrodes. …
Scientists are searching for new materials to advance the next generation of nuclear power plants. In a recent study, researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory …
Many of us have seen robots manufacturing cars, but what if they could build molecules, test new types of battery electrolytes, or speed the rate of discovery toward cancer treatments? …
Hundreds of millions of tons of polymer materials are produced globally for use in a vast and ever-growing application space with new material demands such as green chemistry polymers, consumer …
Today, the U.S. Department of Energy (DOE) announced $4.3 million in funding for 16 projects in artificial intelligence (AI) research for high energy physics (HEP). These awards support the DOE …
Magnets generate invisible fields that attract certain materials. A common example is fridge magnets. Far more important to our everyday lives, magnets also can store data in computers. Exploiting the …
Scientists looking to create a new generation of supercomputers are looking for inspiration from the most complex and energy-efficient computer ever built: the human brain. In some of their initial …
