Abstract: A composite cathode active material, a method of preparing the composite cathode active material, a cathode including the composite cathode active material, and an all-solid secondary battery, are provided. The composite cathode active material may include a core including a lithium-containing sulfide-based cathode active material; and a shell conforming to a surface of the core, where the shell may include at least one first metal oxide represented by formula MaOb (0<a?3 and 0<b<4, wherein if a is 1, 2, or 3, b is not an integer); and a carbonaceous material, the first metal oxide may be disposed within a matrix of the carbonaceous material, and M may be at least one metal selected from among Groups 2 to 16 in the Periodic Table of Elements.

Abstract: A porous silicon composite includes: a porous core including a porous silicon composite secondary particle; and a shell disposed on a surface of the porous core and surrounding the porous core, wherein the porous silicon composite secondary particle includes an aggregate of silicon composite primary particles, each including silicon, a silicon suboxide on a surface of the silicon, and a first graphene on a surface of the silicon suboxide, wherein the shell include a second graphene, and at least one of the first graphene and the second graphene includes at least one element selected from nitrogen, phosphorus, and sulfur.

Abstract: An all-solid secondary battery includes a positive electrode layer, a negative electrode layer, and a solid electrolyte layer between the positive electrode layer and the negative electrode layer, wherein the positive electrode layer includes a positive electrode current collector and a positive electrode active material layer, the positive electrode active material layer includes a lithium-containing sulfide-based positive electrode active material, the lithium-containing sulfide-based positive electrode active material includes Li2S, a Li2S-containing composite, or a combination thereof, the all-solid secondary battery includes a first inactive member on one surface of the positive electrode layer, the negative electrode layer includes a negative electrode current collector and a first negative electrode active material layer, a ratio of initial charge capacity of the first negative electrode active material layer to initial charge capacity of the positive electrode active material layer is in a range of ab

Abstract: The present invention relates to a method of preparing a water-based surface treatment agent and a water-based surface treatment agent prepared using the same. More particularly, the present invention relates to a water-based surface treatment agent used to form a surface treatment layer included in artificial leather for automobile seat covers and a method of preparing the water-based surface treatment agent. According to the present invention, when the water-based surface treatment agent is used to manufacture artificial leather, occurrence of whitening of the surface of the artificial leather may be prevented.

Abstract: The present invention relates to artificial leather and a method of manufacturing the same. More particularly, the present invention relates to artificial leather for automobile seat covers, the artificial leather having a texture similar to that of natural leather, having a soft feel like natural leather, and having excellent peel strength and a method of manufacturing the artificial leather.

Abstract: An autonomous robotic system using an adaptive, interactive, and cognitive reasoner utilizing an advanced memory graph structure receives a natural language input. The natural language input is processed to identify components. At least a portion of the components of the natural language input is stored in a short-term artificial intelligence memory graph data structure. A long-term artificial intelligence memory graph data structure includes data that was previously stored in the short-term artificial intelligence memory graph data structure but is no longer stored in the short-term artificial intelligence memory graph data structure.

Abstract: The present invention relates to a method of preparing a water-based surface treatment agent and a water-based surface treatment agent prepared using the same. More particularly, the present invention relates to a water-based surface treatment agent used to form a surface treatment layer included in artificial leather for automobile seat covers and a method of preparing the water-based surface treatment agent. According to the present invention, when the water-based surface treatment agent is used to manufacture artificial leather, occurrence of whitening of the surface of the artificial leather may be prevented.

Abstract: The present invention relates to artificial leather, and more particularly, to artificial leather for automobile seat covers having excellent surface appearance and a method of manufacturing the artificial leather. When the artificial leather of the present invention is manufactured, surface treatment is performed before embossing molding that imparts a texture and cushioning similar to natural leather to artificial leather. Accordingly, the artificial leather of the present invention may be provided with a surface treatment layer having a uniform thickness, thereby exhibiting excellent surface appearance.

Abstract: The present invention relates to artificial leather and a method of manufacturing the same. More particularly, the present invention relates to artificial leather for automobile seat covers, the artificial leather having a texture similar to that of natural leather, having a soft feel like natural leather, and having excellent peel strength and a method of manufacturing the artificial leather.

Abstract: An autonomous robotic system using an adaptive, interactive, and cognitive reasoner utilizing an advanced memory graph structure receives a natural language input. The natural language input is processed to identify components. At least a portion of the components of the natural language input is stored in a short-term artificial intelligence memory graph data structure. A long-term artificial intelligence memory graph data structure includes data that was previously stored in the short-term artificial intelligence memory graph data structure but is no longer stored in the short-term artificial intelligence memory graph data structure.

Abstract: A compound for absorbing sunlight and converting the sunlight into electrical energy, which is formed by coupling a fullerene with at least one or more triarylamine derivatives. The fullerene is selected from among those having carbon numbers C60, C70, C78, C82 and C84, and the triarylamine derivatives are coupled with at least one or more aliphatic or aromatic hydrocarbons and are also coupled with a dopant. A method of manufacturing the compound includes steps of synthesizing a fullerene derivative, synthesizing fullerene-triarylamine, wherein a fullerene-triarylamine adduct is prepared by coupling the fullerene derivative with a triarylamine derivative, preparing an adduct solution by dissolving the fullerene-triarylamine adduct in an organic solvent, and conducting a doping reaction by adding an acid dropwise slowly to the adduct solution.

Abstract: A compound for absorbing sunlight and converting the sunlight into electrical energy, which is formed by coupling a fullerene with at least one or more triarylamine derivatives. The fullerene is selected from among those having carbon numbers C60, C70, C78, C82 and C84, and the triarylamine derivatives are coupled with at least one or more aliphatic or aromatic hydrocarbons and are also coupled with a dopant. A method of manufacturing the compound includes steps of synthesizing a fullerene derivative, synthesizing fullerene-triarylamine, wherein a fullerene-triarylamine adduct is prepared by coupling the fullerene derivative with a triarylamine derivative, preparing an adduct solution by dissolving the fullerene-triarylamine adduct in an organic solvent, and conducting a doping reaction by adding an acid dropwise slowly to the adduct solution.