Stanford University’s new machine learning method has slashed battery testing times – a key barrier to longer-lasting, faster-charging batteries for electric vehicles – by nearly fifteenfold. Battery performance can make or break the electric vehicle experience, from driving range to charging time to the lifetime of the car. Now, artificial intelligence has made dreams like […]

Happy New Year! DOE/Argonne National Laboratory researchers have turned to the power of machine learning and artificial intelligence to dramatically accelerate battery discovery. The press release likens designing new batteries with the best molecular building blocks for battery components to trying to create a recipe for a new kind of cake, when you have billions […]

Machine learning can help bring to Earth the clean fusion energy that powers the sun and stars. Researchers are using this form of artificial intelligence to create a model for rapid control of plasma – the state of matter composed of free electrons and atomic nuclei, or ions – that fuels fusion reactions. Machine learning […]

University of Copenhagen researchers have developed a method that makes it easier to find better and cheaper catalysts. Catalysts that can ensure the creation and storage of bio source, solar and wind energy in fuels and chemicals will therefore play an increasingly important role. The catalysts that are used today are often both expensive and […]

Los Alamos National Laboratory (LANL) recently demonstrated how an informatics-based adaptive design strategy (aka machine learning), tightly coupled to experiments, can accelerate the discovery of new materials with targeted properties. The researchers have applied the adaptive-design strategy to reveal targeted properties in shape-memory alloy. The LANL team’s results have been published in Nature Communications. Turab […]

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