While reactivity is commonly understood to have a nonlinear relationship with nuclide concentration, typically requiring complex numerical calculations, we discovered that taking the reciprocal of ...

Abstract: Unlike traditional user-item recommendation tasks (e.g., movie or consumer-product recommendation), reciprocal recommender systems (RRSs) (e.g., online dating services and job-recruitment ...

Abstract: In this study, physics-informed graph residual learning (PhiGRL) is proposed as an effective and robust deep learning (DL)-based approach for 3-D electromagnetic (EM) modeling. Extended from ...

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