University of Michigan researchers have used machine learning to predict how the compositions of metal alloys and metal oxides affect their electronic structures. The finding could help pave the way toward cleaner fuels and a more sustainable chemical industry. The electronic structure is key to understanding how the material will perform as a mediator, or […]

Imperial College London researchers have demonstrated how machine learning could help design lithium-ion batteries and fuel cells with better performance. The new machine learning algorithm allows researchers to explore possible designs for the microstructure of fuel cells and lithium-ion batteries, before running 3D simulations that help researchers make changes to improve performance. Improvements could include […]

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 […]

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