Abstract: The solar cell includes a silicon substrate, multiple first electrodes, and multiple second electrodes. The solar cell further includes a tunneling oxide layer, multiple doped polysilicon layers, and at least one barrier layer. The at least one barrier layer is arranged between every adjacent two doped polysilicon layers in the multiple doped polysilicon layers, and the multiple first electrodes are electrically connected to different doped polysilicon layers. The solar cell provided according to the present application can reduce the total thickness of the polycrystalline silicon layer, so that a thinner polycrystalline silicon layer can reduce parasitic absorption, thereby increasing short-circuit current. Moreover, the risk of slurry burning through the tunneling oxide layer is reduced by the barrier layer, while reducing metal recombination, which increases the open circuit voltage of the solar cell, thereby improving the photoelectric conversion efficiency of the solar cell.

Abstract: Apparatuses, systems, and techniques to train/use one or more neural networks. In at least one embodiment, a processor comprises one or more circuits to cause neural network training information to be aggregated based, at least in part, on contribution of the neural network training data and one or more performance metrics of the neural network.

Abstract: A semiconductor die is provided. The semiconductor die includes a D2D transceiver composed of a single die or dual dies. The D2D transceiver includes a first D2D transmitter and a first D2D receiver. The D2D transmitter is configured to send data to a second D2D receiver in a second D2D transceiver of another semiconductor die using a first reference clock signal. The D2D receiver is configured to receive data from a second D2D transmitter in the second D2D transceiver using a second reference clock signal. Through using the embodiments of the disclosure, a transmission solution may be flexibly configured for a multi-application scenario including D2D.

Abstract: Apparatuses, systems, and techniques to perform federated training of neural networks while maintaining control over dissemination of local models of neural networks from which aspects of local training data might be extracted. In at least one embodiment, a neural network is trained on local training data and a local model is provided to be aggregated with other local models into a global model that is in turn used for further local model training, wherein a provided local model or training is adjusted to reduce an ability to extract aspects of local training data therefrom.

Abstract: The solar cell includes a silicon substrate, multiple first electrodes, and multiple second electrodes. The solar cell further includes a tunneling oxide layer, multiple doped polysilicon layers, and at least one barrier layer. The at least one barrier layer is arranged between every adjacent two doped polysilicon layers in the multiple doped polysilicon layers, and the multiple first electrodes are electrically connected to different doped polysilicon layers. The solar cell provided according to the present application can reduce the total thickness of the polycrystalline silicon layer, so that a thinner polycrystalline silicon layer can reduce parasitic absorption, thereby increasing short-circuit current. Moreover, the risk of slurry burning through the tunneling oxide layer is reduced by the barrier layer, while reducing metal recombination, which increases the open circuit voltage of the solar cell, thereby improving the photoelectric conversion efficiency of the solar cell.

Abstract: The photovoltaic cell includes a silicon substrate, a first passivation layer, a second passivation layer, at least one silicon oxynitride layer, and at least one silicon nitride layer. The second passivation layer includes a first silicon oxide layer and at least one aluminum oxide layer, and a thickness of the at least one aluminum oxide layer is in a range of 4 nm to 20 nm. The number of silicon atoms is greater than the number of oxygen atoms in the at least one silicon oxynitride layer and the number of oxygen atoms is greater than the number of nitride atoms in the at least one silicon oxynitride layer. The first silicon oxide layer is disposed between the substrate and the at least one aluminum oxide layer, and a thickness of the first silicon oxide layer is in a range of 0.1 nm to 5 nm.

Abstract: A solar cell, a method for producing a solar cell and a solar cell module are provided. The solar cell includes: a substrate having a front surface and a rear surface opposite to the front surface; a first passivation layer, a second passivation layer and a third passivation layer sequentially formed on the front surface and in a direction away from the front surface; wherein the first passivation layer includes a dielectric material; the second passivation layer includes a first silicon nitride SimNn material, and a ratio of n/m is 0.5˜1; the third passivation layer includes a silicon oxynitride SiOiNj material, and a ratio of j/i is 0.1˜0.6; and a tunneling oxide layer and a doped conductive layer sequentially formed on the rear surface and in a direction away from the rear surface, wherein the doped conductive layer and the substrate have a doping element of a same conductivity type.

Abstract: The tracing method according to the present disclosure includes: coding solar cells disposed in a loading frame according to a frame code of a loading frame, such that each respective solar cell has a respective cell code; obtaining respective process information of the respective solar cell according to a loading order, where the process information includes a code of a process carrier, a code of a workbench and a position code of a solar cell in the process carrier; uploading cell codes and process information of the solar cells to a computer system; and recording and associating, by the computer system, the respective cell code and the respective process information.

Abstract: The method for preparing a solar cell includes providing a substrate having a first surface and a second surface opposite to the first surface; forming a doped layer and a first passivation layer stacked sequentially in a direction away from the substrate on the first surface; forming a second passivation layer on the second surface; forming multiple first grid line electrodes arranged at intervals on the surface of the first passivation layer away from the substrate, and forming multiple second grid line electrodes arranged at intervals on the surface of the second passivation layer away from the substrate; performing a laser processing on the multiple first grid line electrodes and an adjacent region of the multiple first grid line electrodes, and applying a reverse current between the multiple first grid line electrodes and the multiple second grid line electrodes.

Abstract: Apparatuses, systems, and techniques to generate one or more neural networks. In at least one embodiment, one or more neural networks are generated, based on, for example, one or more convolutional neural network operations and one or more transformer neural network operations.

Abstract: The solar cell according to the present disclosure includes a substrate and a plurality of grid lines. A plurality of recess sets arranged at intervals in a first direction are formed on a surface of the substrate, and each of the plurality of grid lines is formed in a region defined by a respective recess set. Each of the plurality of recess sets includes a plurality of recesses arranged at intervals in the second direction, and 0<d<4L, d refers to a distance between adjacent recesses in the second direction, and L refers to a maximum dimension of a recess. Each of the plurality of grid lines includes a first plating layer including portions formed on the surface of the substrate and extension portions each formed in a respective recess, and each of the extension portions is in contact with the substrate through the recess.

Abstract: The photovoltaic cell includes a silicon substrate, a first passivation layer, a second passivation layer, at least one silicon oxynitride layer, and at least one silicon nitride layer. The second passivation layer includes a first silicon oxide layer and at least one aluminum oxide layer, a ratio of the number of oxide atoms to the number of aluminum atoms in the at least one aluminum oxide layer is greater than 0.8 and less than 1.6. The number of silicon atoms is greater than the number of oxygen atoms in the at least one silicon oxynitride layer and the number of oxygen atoms is greater than the number of nitrogen atoms in the at least one silicon oxynitride layer. A ratio of the number of silicon atoms to the number of nitrogen atoms in the at least one silicon nitride layer is greater than 1 and less than 4.

Abstract: A device for removing unwanted objects from cut tobacco in a cut tobacco production line is disclosed, which includes: a raw cut tobacco feeding and conveying unit (N1), a heavy unwanted object removal unit (N2), a cut tobacco dispersion and recovery unit (N3), a moderate unwanted object removal unit (N4), a cut tobacco humidification unit (N5) and a light unwanted object removal unit (N6). An unwanted object removal method using the cut tobacco unwanted object removal device is also disclosed. The device and method of the disclosure can effectively remove unwanted objects from cut tobacco.

Abstract: Methods for detecting and extracting plastic contaminants within a water sample, which involve introducing the water sample to a hydrophobic deep eutectic solvent, are provided.

Abstract: A solar cell includes a substrate having a front surface and a back surface opposite to the front surface; a first passivation layer, a second passivation layer and a third passivation layer sequentially formed on the front surface of the substrate and in a direction away from the substrate; where the first passivation layer includes a dielectric material; the second passivation layer includes a first SiuNv material, and a value of v/u is 1.3?v/u?1.7; and the third passivation layer includes a SirOs material, and a value of s/r is 1.9?s/r?3.2; and a tunneling oxide layer and a doped conductive layer sequentially formed on the back surface of the substrate and in a direction away from the back surface; the doped conductive layer and the substrate are doped to have a same conductivity type.

Abstract: Provided are a solar cell and a photovoltaic module. The solar cell includes: a silicon substrate; a passivation layer provided on a surface of the silicon substrate; a first electrode conductor at least partially arranged on the passivation layer and including a body portion and protruding portions located on two ends of the body portion; and a second electrode conductor at least partially arranged on the passivation layer and at least partially overlapping with the protruding portions. A length of each of the protruding portions in a width direction of the body portion is greater than a width of the body portion.

Abstract: A solar cell, including a crystalline silicon substrate; a first passivation contact step provided on a surface of the crystalline silicon substrate; a second passivation contact step provided on a surface of the first passivation contact step away from the crystalline silicon substrate and located corresponding to an electrode; a first passivation antireflection step provided on the surface of the first passivation contact step away from the crystalline silicon substrate and not in contact with the second passivation contact step; a second passivation antireflection step provided on a surface of the second passivation contact step away from the first passivation contact step; and the electrode including a side in contact with the first passivation contact step and another side penetrating through the second passivation contact step and the second passivation antireflection step.

Abstract: Apparatuses, systems, and techniques to collaboratively train one or more machine learning models. Parameter reviewers may be configured to compare sets of machine learning model parameter information in order to generate one or more machine learning models, such as neural networks.

Abstract: A display device is provided, including: a housing body, a first shaft, a first roller, a flexible display screen, a main board, and a flexible circuit board. When the display device is in use, the entire flexible display screen is stretched to an exterior of the housing body. When the display device is idle, the flexible display screen is rolled up to be spirally sleeved on the roller. Therefore, a size of the display device can be reduced, and portability of the display device is improved.

Abstract: Provided is a solar cell. The solar cell may include a semiconductor layer and a passivation film stack provided on a back surface of the semiconductor layer. The passivation film stack may include a first passivation layer provided on the back surface of the semiconductor layer and including a silicon-rich layer with a silicon atom concentration ranging from 5×1021/cm3 to 2.5×1022/cm3; a second passivation layer provided on a surface of the first passivation layer and including an oxygen-rich and nitrogen-rich layer; and a third passivation layer provided on a surface of the second passivation layer and including at least one silicon nitride film with a gradient-varied refractive index. A first refractive index of the first passivation layer may be greater than a second refractive index of the second passivation layer and smaller than a third refractive index of the third passivation layer.