Open Image…Save ImageOpen Image (using #TmpD/ia)… Karlsruher Institut für Technologie (KIT) researchers and of two Helmholtz platforms – Helmholtz Imaging at the German Cancer Research Center (DKFZ) and Helmholtz AI -have succeeded in finding a way to predict the quality of the perovskite layers and consequently that of the resulting solar cells when assisted by machine learning. The new methods […]

Open Image…Save ImageOpen Image (using #TmpD/ia)… Argonne National Laboratory scientists explain upgrading the hunt for electrolytes with artificial intelligence that could enable revolutionary battery chemistries. A new paper published in Science, Meng and colleagues laid out their vision for electrolyte design in future generations of batteries. Designing a battery is a three-part process. You need a positive electrode, you need […]

A Princeton Plasma Physics Laboratory new computer simulation forecasts a surprisingly optimistic heat load for future fusion facilities designed to harvest on Earth the fusion energy that powers the sun and stars to generate electricity. Efforts to duplicate the fusion reactions on Earth that power the sun and stars for unlimited energy must contend with […]

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 […]

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