Abstract: Recently, deep learning has attracted intensive attentions in electromagnetic society, especially for inverse problems. In this work, we propose two language-guided automatic design ...
A generative AI framework predicts stable antiferromagnets, identifying semiconductors and metals with properties suited for ultrafast spintronics and advancing systematic discovery of magnetic ...
Abstract: This article proposes a new underwater thruster fault detection and identification method based on adversarial variational autoencoder (AdvVAE). Adversarial training and variational ...
There is an urgent need for structurally novel antibiotic compounds, with unique mechanisms of action. Deep learning approaches have increased discovery rates, but efforts have largely been applied to ...
As world leaders gather at the United Nations this week, former U.S. diplomat Hugh Dugan is urging Washington to demand accountability. "We need to see an organization that is effective and efficient, ...
Dear Annie: My three brothers and I are all senior citizens, and throughout our lives we have endured a very difficult relationship with our mother. From the time we were children, she was physically ...
ABSTRACT: Accurate measurement of time-varying systematic risk exposures is essential for robust financial risk management. Conventional asset pricing models, such as the Fama-French three-factor ...
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