Abstract: A lithium precipitation detection method may include: sending, when a battery management module in the battery pack determines that a change in a charging voltage of the battery pack meets a predetermined condition, a charging request containing a first current to a charging pile for charging, and controlling the battery pack to be charged with the first current for a first predetermined duration and a second predetermined duration, where the first predetermined duration is equal to the second predetermined duration; obtaining, by the battery management module, a first voltage change amount within the first predetermined duration and a second voltage change amount within the second predetermined duration; and determining, when the battery management module determines that a difference between the second voltage change amount and the first voltage change amount is greater than a predetermined voltage threshold, that lithium precipitation occurs in the battery pack.

Abstract: A semiconductor device with dual side source/drain (S/D) contact structures and a method of fabricating the same are disclosed. The method includes forming a fin structure on a substrate, forming a superlattice structure on the fin structure, forming first and second S/D regions within the superlattice structure, forming a gate structure between the first and second S/D regions, forming first and second contact structures on first surfaces of the first and second S/D regions, and forming a third contact structure, on a second surface of the first S/D region, with a work function metal (WFM) silicide layer and a dual metal liner. The second surface is opposite to the first surface of the first S/D region and the WFM silicide layer has a work function value closer to a conduction band energy than a valence band energy of a material of the first S/D region.

Abstract: An organic light-emitting diode (OLED) display substrate, a manufacturing method thereof and a display panel are provided. The OLED display substrate has pixel regions and includes a base substrate and a pixel defining layer disposed on the base substrate; in regions of the pixel defining layer corresponding to the pixel regions, accommodation parts penetrating the pixel defining layer are disposed, and the pixel defining layer is further provided with guide parts disposed corresponding to the accommodation parts, the guide parts are located on a periphery of the corresponding accommodation parts and formed by recessed areas which are formed on a side of the pixel defining layer away from the base substrate, the recessed areas do not penetrate the pixel defining layer, and an orthographic projection of the guide part on the base substrate is directly coupled to an orthographic projection of the corresponding accommodation part on the base substrate.

Abstract: A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, weather data and financial data related to locations and dates within the supply chain.

Abstract: A method of forming a semiconductor transistor device. The method comprises forming a channel structure over a substrate and forming a first source/drain structure and a second source/drain structure on opposite sides of the fin structure. The method further comprises forming a gate structure surrounding the fin structure. The method further comprises flipping and partially removing the substrate to form a back-side capping trench while leaving a lower portion of the substrate along upper sidewalls of the first source/drain structure and the second source/drain structure as a protective spacer. The method further comprises forming a back-side dielectric cap in the back-side capping trench.

Abstract: Methods and systems for computationally processing data with a multi-layer convolutional neural network (CNN) having an input and output layer, and one or more intermediate layers are described. Input data represented in a form of evaluations of continuous functions on a sphere may be received at a computing device and input to the input layer. The input layer may compute outputs as covariant Fourier space activations by transforming the continuous functions into spherical harmonic expansions. The output activations from the input layer may be processed sequentially through each of the intermediate layers. Each, intermediate layer may apply Ciebsch-Gordan transforms to compute respective covariant Fourier space activations as input to an immediately next layer, without computing any intermediate inverse Fourier transforms or forward Fourier transforms.

Abstract: An electronic system including an image sensor, a face detection engine, an eye detection engine and an eye protection engine is provided. The image sensor captures an image. The face detection engine recognizes a user face in the image. The eye detection engine recognizes user eyes in the image. The eye protection engine turns off a display device when the user eyes are recognized in the image but the user face is not recognized in the image.

Abstract: In some embodiments, the present disclosure relates to an integrated chip structure. The integrated chip structure includes a substrate. A gate electrode is over the substrate and a spacer structure laterally surrounds the gate electrode. A conductive via is disposed on the gate electrode. A liner is arranged along one or more sidewalls of the spacer structure. The conductive via has a bottommost surface that has a larger width than a part of the conductive via that is laterally adjacent to one or more interior sidewalls of the liner.

Abstract: The present invention discloses a lithium ion battery with low capacity loss, which comprises an cathode material, a anode material and an electrolyte. The cathode material has a chemical formula Li(9x+2y+z)MnyMezO(3y+z)N2xX3x (xLi9N2X3·yLi2MnO3·zA), and has advantages such as stable performance, low surface residue, and high dilithiation capacity. The preparation of the cathode material comprises the steps of: synthesis of a precursor from a metal salt and a manganese compound by chemical co-precipitation, followed by, sequentially, heat treatment and crushing; and repeated lithium supplementation and multi-stage sintering to form the cathode material. The method for preparing the cathode material is simple. By repeated lithium supplementation and sintering, Li3N is inserted into the lattice of the material. Li9N2X3 forms a eutectic with the base material, which further reduces the surface residue, improves the storage and cycling performance of the material.

Abstract: This patent document describes, among other things, techniques, and apparatuses for providing onboarding and provisioning of networks. In one aspect, a method of wireless communication is disclosed. The method includes receiving, by a first network node from a second network node, an authentication notification including an identifier for a third network node where a key is stored. The method further includes transmitting, by a first network node, a wireless device parameter update message to the third network node identified by the identifier.

Abstract: The present invention discloses a lithium ion battery with high capacity, which comprises an cathode material, a anode material and an electrolyte. The cathode material has a chemical formula LiNi(1-x)MexO, wherein x is 10?6 to 10?1, and Me is a third metal other than Li and Ni. Said material has the advantages of high purity, high density and high delithiation capacity. The preparation method of the cathode material comprises: subjecting a nickel salt and an additive to chemical co-precipitation, calcining, and inducing of a crack structure with an inducing environment, an inducing chemical, or a combination thereof to give a precursor, which is mixed with Li2O, sintered and crushed to give the cathode material.

Abstract: A lithium precipitation detection method may include: sending, when a battery management module in the battery pack determines that a change in a charging voltage of the battery pack meets a predetermined condition, a charging request containing a first current to a charging pile for charging, and controlling the battery pack to be charged with the first current for a first predetermined duration and a second predetermined duration, where the first predetermined duration is equal to the second predetermined duration; obtaining, by the battery management module, a first voltage change amount within the first predetermined duration and a second voltage change amount within the second predetermined duration; and determining, when the battery management module determines that a difference between the second voltage change amount and the first voltage change amount is greater than a predetermined voltage threshold, that lithium precipitation occurs in the battery pack.

Abstract: Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.

Abstract: A dynamic supply chain planning system for analysis of historical lead time data that uses machine learning algorithms to forecast future lead times based on historical lead time data, weather data and financial data related to locations and dates within the supply chain.

Abstract: Systems and methods for dynamic demand sensing in a supply chain in which constantly-updated data is used to select a machine learning model or retrain a pre-selected machine learning model, for forecasting sales of a product at a specific location. The updated data includes product information and geographic information.

Abstract: A method for charging a traction battery includes obtaining a battery parameter of the traction battery that includes a state of charge and/or an open-circuit voltage, and, during a charging process of the traction battery, controlling the traction battery to discharge or stop being charged in response to the battery parameter changing by a parameter gap value. The parameter gap value is a first preset parameter gap value in a scenario in which the battery parameter of the traction battery is in a first parameter interval, and is a second preset parameter gap value in a scenario in which the battery parameter of the traction battery is in a second parameter interval. The first preset parameter gap value is greater than the second preset parameter gap value, and the battery parameter in the first parameter interval is less than the battery parameter in the second parameter interval.

Abstract: Systems and methods for dynamic demand sensing in a supply chain in which constantly-updated data is used to select a machine learning model or retrain a pre-selected machine learning model, for forecasting sales of a product at a specific location. The updated data includes product information and geographic information. Also disclosed are systems and methods relating to demand forecasting and readjusting forecasts based on forecast error.

Abstract: Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.

Abstract: A charging method for a battery pack includes sending, by a battery management module of the battery pack, a charging request for a first current to a charging pile for charging, controlling, by the battery management module in response to determining that first-current charging of the battery pack meets a first predetermined condition, the battery pack to perform pulse discharge, and controlling, by the battery management module in response to determining that the pulse discharge of the battery pack meets a second predetermined condition, the battery pack to stop discharging, and sending a charging request for a second current to the charging pile for charging. The second current is less than the first current.

Abstract: Machine learning segmentation methods and systems that perform segmentation quickly, efficiently, cheaply, and optionally provides an interactive feature that allows a user to alter the segmentation until a desired result is obtained. The automated machine learning segmentation tool receives all potentially important attributes and provides segmentation of items. It also receives information about important features of the data and finds how best to differentiate between groups using cluster-based machine learning algorithms. In addition, visualization of the segmentation explains to a user how the segmentation was obtained.