The electron excitation processes of H(1s)+He(1s^(2))→H(2s/2p)+He(1s^(2))are studied in impact energy range of 20-2000 e V/u by using the quantum-mechanical molecular orbital close-coupling(QMOCC)*** and state-select...
详细信息
The electron excitation processes of H(1s)+He(1s^(2))→H(2s/2p)+He(1s^(2))are studied in impact energy range of 20-2000 e V/u by using the quantum-mechanical molecular orbital close-coupling(QMOCC)*** and state-selective cross sections have been obtained and compared with the available theoretical and experimental *** results agree well with available measurements in the overlapping energy regions *** comparison of our results with other theoretical calculations further demonstrates the importance of considering a sufficient number of *** datasets presented in this paper,including the excitation cross sections,are openly available at https://***/10.57760/sciencedb.j00113.00083.
This paper is concerned with the existence and multiplicity of solutions for singular Kirchhoff-type problems involving the fractional p-Laplacian *** precisely,we study the following nonlocal problem:{M (∫∫_(R2N)|x...
详细信息
This paper is concerned with the existence and multiplicity of solutions for singular Kirchhoff-type problems involving the fractional p-Laplacian *** precisely,we study the following nonlocal problem:{M (∫∫_(R2N)|x|^(α1p)|y|^(α2p)|u(x) − u(y)|^(p)/|x − y|^(N+ps) dxdy)L_(p)^(s)u = |x| ^(β)f(u) in Ω,u = 0 in R^(N) \ Ω,where L_(p)^(s) is the generalized fractional p-Laplacian operator,N≥1,s∈(0,1),α_(1),α_(2),β∈R,Ω■R^(N) is a bounded domain with Lipschitz boundary,and M:R0^(+)→R0^(+),f:Ω→R are continuous ***,we introduce a variational framework for the above ***,the existence of least energy solutions is obtained by using variational methods,provided that the nonlinear term f has(θ_(p-1))-sublinear growth at ***,the existence of infinitely many solutions is obtained by using Krasnoselskii’s genus ***,we obtain the existence and multiplicity of solutions if f has(θ_(p-1))-superlinear growth at *** main features of our paper are that the Kirchhoff function may vanish at zero and the nonlinearity may be singular.
This paper is concerned with the ergodicity for stochastic 2D fractional magneto-hydrodynamic equations on the two-dimensional torus driven by a highly degenerate pure jump Lévy noise. We focus on the challenging...
详细信息
We discuss effects of electromigration in processes of nano-structured thin films growth at condensation from gaseous phase end epitaxial growth in the framework of numerical simulations. It will be shown that an incr...
详细信息
Epistemic metadata, i.e., knowledge and validity claims, provenance descriptions, and grounding of research conclusions, contain information that is relevant to substantiating the knowledge status of data. They consti...
详细信息
We concentrate on the parallel,fully coupled and fully implicit solution of the sequence of 3-by-3 block-structured linear systems arising from the symmetrypreserving finite volume element discretization of the unstea...
详细信息
We concentrate on the parallel,fully coupled and fully implicit solution of the sequence of 3-by-3 block-structured linear systems arising from the symmetrypreserving finite volume element discretization of the unsteady three-temperature radiation diffusion equations in high *** this article,motivated by[***,***,***,SIAM *** ***.33(2012)653–680]and[***,***,***,***.442(2021)110513],we aim to develop the additive and multiplicative Schwarz preconditioners subdividing the physical quantities rather than the underlying domain,and consider their sequential and parallel implementations using a simplified explicit decoupling factor approximation and algebraic multigrid subsolves to address such linear ***,computational efficiencies and parallel scalabilities of the proposed approaches are numerically tested in a number of representative real-world capsule implosion benchmarks.
Screened spherical wave (SSW) of the Hankel function features the complete, minimal and short-ranged basis set, presenting a compact representation for electronic systems. In this work, we report the implementation of...
详细信息
We present all-electron close-coupling calculations of cross sections for electron capture and target excitation occurring in 0.25–200 keV/u He+−H collisions. We show overall good agreements with available experiment...
详细信息
We present all-electron close-coupling calculations of cross sections for electron capture and target excitation occurring in 0.25–200 keV/u He+−H collisions. We show overall good agreements with available experimental data for total electron capture, n=2 target excitation, and related Hα emission. We especially focus on nℓ-selective capture and excitation processes and critically compare our results with those from previous theoretical investigations. Our results confirm the oscillatory structures observed in the spin-averaged H(2s) and H(2p) excitation cross sections for impact energies below 50 keV/u. Furthermore, we interpret these oscillations as the consequence of interferences between excitation to H(2s) and H(2p0) in both spin-singlet and spin-triplet symmetries, as well as between electron capture to He(1s2p1P, |ML|=1) and excitation to H(2p1) in spin-singlet symmetry.
We consider an interacting bipartite network through a Bayesian game-theoretic framework and demonstrate that weak measurements introduce an inherent asymmetry that is not present when using standard projective measur...
详细信息
Graph Neural Networks (GNNs) have gained popularity in various learning tasks, with successful applications in fields like molecular biology, transportation systems, and electrical grids. These fields naturally use gr...
详细信息
ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
Graph Neural Networks (GNNs) have gained popularity in various learning tasks, with successful applications in fields like molecular biology, transportation systems, and electrical grids. These fields naturally use graph data, benefiting from GNNs’ message-passing framework. However, the potential of GNNs in more general data representations, especially in the image domain, remains underexplored. Leveraging the manifold hypothesis, which posits that high-dimensional data lies in a low-dimensional manifold, we explore GNNs’ potential in this context. We construct an image manifold using variational autoencoders, then sample the manifold to generate graphs where each node is an image. This approach reduces data dimensionality while preserving geometric information. We then train a GNN to predict node labels corresponding to the image labels in the classification task, and leverage convergence of GNNs to manifold neural networks to analyze GNN generalization. Experiments on MNIST and CIFAR10 datasets demonstrate that GNNs generalize effectively to unseen graphs, achieving competitive accuracy in classification tasks.
暂无评论