Abstract: A film laminating apparatus and an electrode sheet processing device are disclosed. The film laminating apparatus includes a frame, a conveying mechanism, a mounting plate, and a plurality of film laminating mechanisms, the plurality of film laminating mechanisms being mounted on the mounting plate; the conveying mechanism being mounted on the frame and being capable of conveying an electrode sheet in a first direction into the film laminating apparatus; and the mounting plate being mounted on the frame and forming an included angle with the first direction. The plurality of film laminating mechanisms are tilted or vertically arranged relative to the conveying direction of an electrode sheet. The space occupied by the plurality of film laminating mechanisms, the size of the film laminating apparatus, the volume of the film laminating apparatus, and the space occupied by the film laminating apparatus in the conveying direction of the electrode sheet is reduced.

Abstract: The present disclosure discloses a solar module, including solar cells and electrode lines. Each of the solar cells includes a solar cell substrate and a plurality of busbars located on one side of the solar cell substrate. Each of the electrode lines has one end connected to the busbar on a front surface of one solar cell, and the other end connected to the busbar on a rear surface of another solar cell adjacent to the one cell sheet. First electrode pads are provided at each busbar, a number of the first electrode pads ranges from 6 to 12. A relation between a diameter of the electrode line and a number of busbars is 2.987x?1.144?1.9<y<3.2742x?1.134+1.7, where x denotes the diameter of the electrode line, and y denotes the number of busbars.

Abstract: The present disclosure relates to a 1D partial Fourier parallel magnetic resonance imaging method with a deep convolutional network and belongs to the technical field of magnetic resonance imaging.

Abstract: The present disclosure relates to a 1D partial Fourier parallel magnetic resonance imaging method with a deep convolutional network and belongs to the technical field of magnetic resonance imaging.