Abstract: The present invention discloses a rapid dot matrix micro-nano impact indentation testing system. The rapid dot matrix micro-nano impact indentation testing system comprises a three-dimensional electric positioning module, wherein the three-dimensional electric positioning module comprises an XY translation stage and a Z-axis lifting stage; a dot matrix impact indentation module, wherein the dot matrix impact indentation module comprises a three-degree-of-freedom piezoelectric platform arranged on the Z-axis lifting stage, one surface of the three-degree-of-freedom piezoelectric platform is provided with a piezoelectric ceramic actuator, and one end of the piezoelectric ceramic actuator is connected to an indenter; a clamp, wherein the clamp clamps a test piece, and the test piece faces the indenter; and an imaging module, wherein the imaging module comprises a microscope lens.

Abstract: The present application relates to a silicon-carbon composite material in the form of particles comprising a porous carbon skeleton, a silicon-containing deposition layer, and a carbon-containing coating layer, wherein the silicon-containing deposition layer is in pores of the porous carbon skeleton, the carbon-containing coating layer is on the silicon-containing deposition layer and/or on the surface of the particles, and the silicon-carbon composite material has an oil absorption number of 35 mL/100 g to 80 mL/100 g. The silicon-carbon composite material of the present application has a high energy density and an improved cycle life. In addition, the present application further relates to a negative electrode plate comprising the material, a secondary battery, a battery module, a battery pack, and a power consuming device.

Abstract: A silicon carbon negative material is provided. The silicon carbon negative material includes a porous carbon base, nano-silicon crystal grains located in pores of the porous carbon base, and a carbon coating layer located on a surface of the porous carbon base. The nano-silicon crystal grains include an elemental silicon core and a LixSiy coating layer, x is an integer selected from 7 to 22, and y is an integer selected from 3 to 7.

Abstract: A silicon-carbon composite material and a preparation method thereof, a negative electrode plate, and a secondary battery are disclosed. The silicon-carbon composite material includes a porous carbon matrix and silicon-based particles. The porous carbon matrix internally includes a plurality of pore channels with a width of 5 nm-50 nm. The silicon-based particles are distributed in the pore channels, and the porous carbon matrix meets: 1.0×10?7?Vtotal/Stotal?10.0×10?7, where Stotal is the total surface area occupied by the pore channels with the width of 5 nm-50 nm, and the measurement unit is: ×104 cm2/g; and Vtotal is the total pore volume occupied by the pore channels with the width of 5 nm-50 nm. The silicon-carbon composite material has high electrical conductivity. When being applied to a negative electrode of the secondary battery, the silicon-carbon composite material can effectively increase the volume capacity and energy density of the secondary battery.

Abstract: This application relates to a silicon-carbon composite material. The silicon-carbon composite material includes a carbon nanotube-and-porous carbon composite substrate and a silicon-based material. The porous carbon is connected to the carbon nanotube by a connecting unit in the carbon nanotube-and-porous carbon composite substrate. The high conductivity and strong mechanical properties of the carbon nanotubes can improve the overall conductivity, compression resistance, and expansion resistance of the silicon-carbon composite material, thereby improving cycle performance, electrode plate cycle expansion resistance, and rate performance of a secondary battery.

Abstract: The present application provides a silicon-carbon composite, a method of preparing the same, and a secondary battery including the silicon-carbon composite. The silicon-carbon composite includes porous carbon-based matrix particles having a three-dimensional network interconnecting pore structure; and silicon-based nanoparticles, at least a portion of which is provided in the three-dimensional network interconnecting pore structure. The present application enables secondary batteries to have an improved cycle performance and energy density.

Abstract: A hydraulic engineered cementitious composite (ECC) material and an application thereof are provided. The ECC material includes 25-34 wt % of cement, 23-30 wt % of fly ash, 15-20 wt % of silica fume, 26-32 wt % a fine aggregate, 1.25-1.7% of a composite fiber mesh, 0.1-0.24 wt % of a water reducer, and 0.03-0.07 wt % of a thickener. The composite fiber mesh is prepared by dipping a composite fiber in a water-borne epoxy resin with a curing agent, performing uniform mixing, taking out and spreading the composite fiber, and then cutting or crushing the composite fiber into a small piece of mesh structure; and the composite fiber includes a PVA fiber and a carbon fiber, or a PVA fiber and a basalt fiber, at a weight ratio of (0.3-0.6):1.

Abstract: Systems and methods include reception of a set of data including continuous features and a discrete feature, each continuous feature associated with a plurality of values and the discrete feature associated with a plurality of discrete values, determine, for each continuous feature, a relationship factor representing a relationship between the discrete feature and the continuous feature based on the plurality of values associated with the continuous feature and the plurality of discrete values, identify one of the continuous features associated with a largest one of the determined relationship factors, generate, for each of the other features, a correlation factor representing a correlation between the continuous feature and the identified continuous feature, determine, for each of the continuous features other than the identified continuous feature, a composite relationship score based on the relationship factor and the correlation factor associated with the feature, and present a visualization associated wi

Abstract: Systems and methods include reception of a set of data including continuous features and a discrete feature, each continuous feature associated with a plurality of values and the discrete feature associated with a plurality of discrete values, determine, for each continuous feature, a relationship factor representing a relationship between the discrete feature and the continuous feature based on the plurality of values associated with the continuous feature and the plurality of discrete values, identify one of the continuous features associated with a largest one of the determined relationship factors, generate, for each of the other features, a correlation factor representing a correlation between the continuous feature and the identified continuous feature, determine, for each of the continuous features other than the identified continuous feature, a composite relationship score based on the relationship factor and the correlation factor associated with the feature, and present a visualization associated wi

Abstract: Systems and methods include reception of a set of data, the set of data comprising a plurality of features, building, for each of a plurality of subsets of the plurality of features, a dimension reduction model based on the subset of features and associated values of the set of data, and, for each dimension reduction model, determination of a weight associated with each of subset of features based on the dimension model, identification of a predetermined number of features associated with the highest weights, and generation, for each dimension reduction model, of a data structure comprising the predetermined number of features and the weight associated with each of the predetermined number of features. A plurality of top features are determined based on the plurality of data structures, and a supervised learning model is trained based on the plurality of top features of the set of data.