Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...
I watched Switchbot's Onero H1 attempt the first two of these tasks, and I wasn't impressed, especially since, unlike most ...
If you build engines, tune cars, or even just like mashing your foot on the throttle with conviction, you’ve probably heard ...
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Predicting the onset of lithium plating using full-cell voltage: A pseudo-P curve approach
Researchers at National Taiwan University have proposed a novel method to predict the onset of lithium metal formation—an ...
The robots, each the size of a single cell, casually turn circles in a bath of water. Suddenly, their sensors detect a change: Parts of the bath are heating up. The microrobots halt their twirls and ...
Perovskite solar cells offer high efficiency & low cost, but complex structures limit modeling. A new Python simulator ...
USC researchers built artificial neurons that replicate real brain processes using ion-based diffusive memristors. These devices emulate how neurons use chemicals to transmit and process signals, ...
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