Abstract: Predicting high-energy proton flux is essential for radiation-effect protection of satellite devices. We introduce a dual-prediction framework based on Graph Neural Networks (GNN) to model ...
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Reporter The attacks on Iran by the U.S. and Israel—and the subsequent soaring oil and gas prices—may have many wondering whether the world is in for another energy crisis like what was experienced in ...
Copyright 2026 The Associated Press. All Rights Reserved. Copyright 2026 The Associated Press. All Rights Reserved. FILE- In this Wednesday, June 8, 2011 file photo ...
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Has graphene's potential been revealed?
Explore the subject matter in depth in this video, which covers key insights and relevant details about the topic. Dive into the specific gear used, notable locations featured throughout the content, ...
Abstract: This study presents an innovative framework leveraging Graph Neural Networks (GNNs) integrated with reinforcement learning (RL) and meta-learning for predictive energy optimization in ...
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