Abstract: This paper introduces an innovative framework that enhances digital twins with deep reinforcement learning (DRL) to support maintenance in manufacturing systems. Utilizing a sophisticated ...
Abstract: Accurately evaluating battery state-of-health and lifetime prognostics with uncertainty quantification is important to guarantee the reliability, safety, and efficiency of batteries' ...
Researchers at Hong Kong University of Science and Technology have developed a new material that could solve one of the biggest problems in lithium metal batteries. The team has created a ...
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