Abstract: A heterocyclic compound represented by Formula 1 and an organic light-emitting device the heterocyclic compound represented by Formula 1: wherein, in Formula 1, Cz1 is a group represented by Formula 1A, Het1 is a group represented by Formula 1B, wherein, R1 to R10, R20, R30, R40, R50, and b10 to b50 are each independently the same as described in the detailed description of the specification.

Abstract: Generating a new chemical structure by using a neural network using an expression region that expresses a particular property in a descriptor or an image for a reference chemical structure. The new chemical structure may be generated by changing a partial structure in the reference chemical structure that corresponds to the expression region.

Abstract: Generating a new chemical structure by using a neural network using an expression region that expresses a particular property in a descriptor or an image for a reference chemical structure. The new chemical structure may be generated by changing a partial structure in the reference chemical structure that corresponds to the expression region.

Abstract: A method of generating a chemical structure performed by a neural network device includes receiving a target property value and a target structure characteristic value; selecting first generation descriptors; generating second generation descriptors; determining, using a first neural network of the neural network device, property values of the second generation descriptors; determining, using a second neural network of the neural network device, structure characteristic values of the second generation descriptors; selecting, from the second generation descriptors, candidate descriptors that satisfy the target property value and the target structure characteristic value; and generating, using the second neural network of the neural network device, chemical structures for the selected candidate descriptors.

Abstract: A method of generating a molecular structure includes generating, based on a predetermined number of a plurality of nodes, all possible two-dimensional (2D) graphs and a plurality of edges representing connections between the plurality of nodes and, for each 2D graph from among the generated 2D graphs, generating all possible molecular structures based on the 2D graph by substituting each of the plurality of nodes with a polygonal ring structure including carbon atoms and substituting the edges with bonds between polygonal ring structures. Also, a method includes substituting at least one of carbon atoms included in the polygonal ring structures with an atom other than a carbon atom.

Abstract: According to the embodiment of the present disclosure, a method of analyzing a lesion based on a medical image performed by a computing device is disclosed. The method may include: extracting, by using a pre-trained artificial neural network, a first feature for each tile of a plurality of tiles included in an input image; and extracting, by using the pre-trained artificial neural network, a second feature for an entirety of the input image, based on information about whether the lesion is present for the each tile and information on a pattern of the lesion for the each tile generated based on first features of the plurality of tiles.

Abstract: Disclosed is a method for detecting a serial section of a medical image, which is performed by a computing device. The method may include: detecting segments included in at least one tissue which exists in the medical image; estimating a number of tissue sections corresponding to the serial section and a distance between the segments based on the segments; and distinguishing tissue sections corresponding to the serial section based on the estimated number of tissue sections corresponding to a serial section and the distance between the segments.

Abstract: A condensed cyclic compound represented by Formula 1: wherein, in Formula 1, groups and variables are the same as described in the specification.

Abstract: A method for searching a new material includes: performing a learning on a material model, which is modeled based on a known material; determining a candidate material by inputting a targeted physical property to a result of the learning; and determining the new material from the candidate material.

Abstract: A method for searching a new material includes: performing a learning on a material model, which is modeled based on a known material; determining a candidate material by inputting a targeted physical property to a result of the learning; and determining the new material from the candidate material.

Abstract: A condensed cyclic compound represented by Formula 1: Ar1-(L1)a1-B-(L2)a2-Ar2??Formula 1 wherein, in Formula 1, groups and variables are the same as described in the specification.

Abstract: A heterocyclic compound represented by Formula 1 and an organic light-emitting device the heterocyclic compound represented by Formula 1: wherein, in Formula 1, Cz1 is a group represented by Formula 1A, Het1 is a group represented by Formula 1B, wherein, R1 to R10, R20, R30, R40, R50, and b10 to b50 are each independently the same as described in the detailed description of the specification.

Abstract: An organometallic compound represented by Formula 1: M(L1)n1(L2)n2??Formula 1 wherein, in Formula 1, M, L1, L2, n1 and n2 are each the same as defined in the detailed description of the specification.

Abstract: Generating a new chemical structure by using a neural network using an expression region that expresses a particular property in a descriptor or an image for a reference chemical structure. The new chemical structure may be generated by changing a partial structure in the reference chemical structure that corresponds to the expression region.

Abstract: A method of generating a molecular structure includes generating, based on a predetermined number of a plurality of nodes, all possible two-dimensional (2D) graphs and a plurality of edges representing connections between the plurality of nodes and, for each 2D graph from among the generated 2D graphs, generating all possible molecular structures based on the 2D graph by substituting each of the plurality of nodes with a polygonal ring structure including carbon atoms and substituting the edges with bonds between polygonal ring structures. Also, a method includes substituting at least one of carbon atoms included in the polygonal ring structures with an atom other than a carbon atom.

Abstract: A condensed cyclic compound represented by Formula 1: wherein, in Formula 1, groups and variables are the same as described in the specification.

Abstract: A method of generating a chemical structure performed by a neural network device includes receiving a target property value and a target structure characteristic value; selecting first generation descriptors; generating second generation descriptors; determining, using a first neural network of the neural network device, property values of the second generation descriptors; determining, using a second neural network of the neural network device, structure characteristic values of the second generation descriptors; selecting, from the second generation descriptors, candidate descriptors that satisfy the target property value and the target structure characteristic value; and generating, using the second neural network of the neural network device, chemical structures for the selected candidate descriptors.

Abstract: A condensed cyclic compound represented by Formula 1: Ar1-(L1)a1-B-(L2)a2-Ar2??Formula 1 wherein, in Formula 1, groups and variables are the same as described in the specification.

Abstract: A method for searching a new material includes: performing a learning on a material model, which is modeled based on a known material; determining a candidate material by inputting a targeted physical property to a result of the learning; and determining the new material from the candidate material.