In reality, in addition to synapse coupling, magnetic flux coupling between neurons exists. Therefore, it is of practical significance to investigate the firing activity of neural network under field coupling. A Hodgkin-Huxley memristive neural model under field coupling is constructed, in which a distance-weighte between neurons is introduced. Then, effect of time-varying electromagnetic field is described with magnetic flux and a flux-controlled memristor is used to realize coupling between membrane potential and magnetic flux. The influence of distance-weighted and system size on the firing activity of memristive neural model under field coupling is studied. Experimental results show that with the increase of weight, the firing activity of neural network is enhanced. Besides, in order to induce neuronal excitability, threshold of weight increases as system becomes larger. Nevertheless, the evolution behavior of neural network activity with different weight is not affected by the system size. On the other hand, with different weight the evolution behavior of neural network activity of different systems is obviously different. These phenomena demonstrate that the weight and system size are important for the firing activity of memristive neural network under field coupling, and especially, the distance-weighte plays a leading role.

Classical trajectories of diatomic system H₂ and O₂ are calculated by means of symplectic algorithms in Murrell Sorbie diatomic potential. The results have been compared with the experiment and theory, and show that the classical trajectories are quite glossy.

The paper introduces a three-dimensional nodal and subchannel analysis code package for the core transient in PWPs-SNENM/RTSP, including the model of neutronics and thermohydraulics used in the package. The preliminary results of applying this code package to the analysis of Steam-Line Break accident for Qinshan NPP are given and also evaluated briefly.