Samsung Electronics Co., Ltd.

Sungkyunkwan University

Samsung Sdi Co., Inc.

Seokho Kang

Younsuk Choi

Jiho Yoo

Youngchun Kwon

Dongseon Lee

Sangho Park

Juhyun Kim

Wook Hwan Kim

Dmitry Kravchuk

Hasup Lee

Jun Chwae

Changho Noh

Inkoo Kim

Kyungdoc Kim

Won-joon Son

Hyosug Lee

Satoko Ishibe

Jaikwang Shin

Kyung Doc Kim

A method and apparatus for generating a new chemical structure using a chemical structure generation model are provided. The method includes receiving a first descriptor of a first chemical structure, encoding the first descriptor into a latent variable using an encoder of the chemical structure generation model, generating a second descriptor by decoding the latent variable using a decoder of the chemical structure generation model, generating the second chemical structure corresponding to the second descriptor.

Method and apparatus for generating chemical structure

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.

Method and apparatus for generating a chemical structure using a neural network

A structure-generating method for generating a structure candidate of a new material including: by a structure-generating processor: performing machine learning on a machine learning model, wherein the machine learning model is configured to provide a result based on a descriptor of a material, a physical property of the material, and a structure of the material; and generating a structure candidate of the new material based on the result of the machine learning, wherein the new material has a target physical property, and wherein the descriptor of the material, the physical property of the material, and the structure of the material are stored in a database.

Method and apparatus for new material discovery using machine learning on targeted physical property

An organometallic compound represented by Formula 1: 

Organometallic compound and organic light-emitting device including the same

Growing community of inventors

Seoul, South Korea

Seokho Kang