Abstract: In this paper we deal with equivariant normal form coefficient formulas for cubic ℤ 2-equivariant Bogdanov-Takens singularities. Normal form coefficients play a key role for the bifurcation ...
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 ...
Department of Biochemistry and Molecular Biology, The University of Texas Medical Branch, 301 University of Blvd, Galveston, Texas 77555, United States Article Views are the COUNTER-compliant sum of ...
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We further construct machine learning models based on a graph network and random forest to enable fast and accurate prediction of minimum lattice thermal conductivity on a large scale, which is ...
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