Abstract: The present disclosure relates to an organic light emitting diode and an organic light emitting device including the same. The organic light emitting diode includes a first electrode; a second electrode facing the first electrode; and a first blue emitting material layer including a first compound and a second compound and positioned between the first and second electrodes, wherein the first compound is represented by Formula 1, and the second compound is represented by Formula 3. According to an aspect of the present disclosure, it is allowed to provide an OLED and an organic light emitting device having high emitting efficiency and/or improved lifespan.

Abstract: A safety valve having a simple structure and a small operating pressure error and configured to maintain a constant pressure in a battery by effectively discharging gas in the battery is provided. A safety valve according to one aspect of the present invention, which is mounted on a battery and operates to maintain a predetermined internal pressure in the battery when the predetermined pressure or more is applied to the battery, includes a main body, a sub body, a cap membrane, and a cover, and a protrusion is formed on an end portion of the cap membrane to be in line contact with an outer surface of the sub body. The main body has a hollow structure formed so that a top communicates with a bottom and a discharge hole in one side surface of an upper portion. The sub body is formed to protrude from an inner circumferential surface of the main body, and a through hole is formed in one side surface of a lower portion of the sub body.

Abstract: A free motion headform (FMH) impact performance prediction device using artificial intelligence includes a data processing processor configured to generate an image by extracting a pre-processed test target image, generated by pre-processing test target design data, using a pre-trained model and generate a pre-processed test target distance value by pre-processing the test target design data. The FMH input performance prediction device also includes a machine learning processor configured to concatenate the image generated by extraction on the basis of the pre-trained model and the pre-processed test target distance value and to predict impact performance using a neural network in which parameters are updated by learning based on an image obtained by pre-processing existing design data and existing impact amount data corresponding to the existing design data. The FMH input performance prediction device further includes an output processor configured to output a value learned by the machine learning processor.

Abstract: A pouch film laminate according to the present disclosure may include a base material layer, a gas barrier layer, and a sealant layer. The gas barrier layer may be disposed between the base material layer and the sealant layer. The gas barrier layer may include stainless steel. The pouch film laminate may have a tensile rupture strength of about 130% to about 250% of a tensile rupture strength of the gas barrier layer.

Abstract: The present invention relates to a method for preparing an alkali metal ion conductive chalcogenide-based solid electrolyte, a solid electrolyte prepared thereby, and an all-solid-state battery comprising the same.