公开(公告)号：US20200044168A1

公开(公告)日：2020-02-06

申请号：US16299549

申请日：2019-03-12

Applicant: Samsung Electronics Co., Ltd. ,  Samsung SDI Co., Ltd.

Inventor： Sangmo KIM ,  Eunsuk KWON ,  Jongsoo KIM ,  Jhunmo SON ,  Dongseon LEE ,  Soonok JEON ,  Yeonsook CHUNG ,  Yongsik JUNG

IPC: H01L51/00 ,  C07F7/08

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

公开(公告)号：US20180000387A1

公开(公告)日：2018-01-04

申请号：US15637628

申请日：2017-06-29

Applicant: Samsung Electronics Co., Ltd.

Inventor： Chul Joon HEO ,  Kyung Bae PARK ,  Takkyun RO ,  Kwang Hee LEE ,  Dongseon LEE ,  Yong Wan JIN ,  Moon Gyu HAN

IPC: A61B5/1455 ,  A61B5/0295 ,  A61B5/145 ,  A61B5/026

Abstract: Disclosed is a non-invasive biometric sensor including a light source, an organic photodetector, and a detector. The light source is configured to irradiate light in a desired (and/or alternatively predetermined) wavelength range to a body part. The organic photodetector is configured to sense the light in the desired (and/or alternatively predetermined) wavelength range in response to the light in the desired (and/or alternatively predetermined) range being transmitted through the body part. The detector is configured to determine biomedical information of the body part based on an amount of the light sensed by the organic photodetector.

公开(公告)号：US20230063171A1

公开(公告)日：2023-03-02

申请号：US17745374

申请日：2022-05-16

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngchun KWON ,  Seokho KANG ,  Jin Woo KIM ,  Dongseon LEE ,  Younsuk CHOI

IPC: G05B19/418

Abstract: A method of optimizing synthetic conditions includes receiving a graph-type descriptor comprising at least one of structural information of at least one reactant and structural information of a target product to be synthesized by the reactant; determining combinations of synthetic conditions for generating the target product by applying the graph-type descriptor to a prediction neural network model; selecting at least one initial condition combination from among the combinations based on a first confidence corresponding to a yield of the combinations; updating the prediction neural network model based on a ground-truth yield obtained from a result of an experiment with the initial condition combination; determining a priority of the combinations based on the updated prediction neural network model; and determining subsequent combinations of synthetic conditions based on the determined priority.

公开(公告)号：US20210174910A1

公开(公告)日：2021-06-10

申请号：US17114713

申请日：2020-12-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngchun KWON ,  Jiho YOO ,  Younsuk CHOI ,  Youngmin NAM ,  Minsik PARK ,  Jinwoo PARK ,  Dongseon LEE

IPC: G16C20/50 ,  G06N3/04 ,  G06N3/08 ,  G16C20/70

Abstract: A neural network apparatus for generating a new chemical structure may receive a structure input of a chemical structure; generate, based on the structure input, a negative attention vector that indicates a respective probability of presence of each of a plurality of blacklists in the structure input; generate a structure expression by encoding the structure input; generate a final reverse blacklist vector that does not include the plurality of blacklists, based on the negative attention vector and the structure expression; and generate the new chemical structure by decoding the final reverse blacklist vector.

公开(公告)号：US20210125060A1

公开(公告)日：2021-04-29

申请号：US16887062

申请日：2020-05-29

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Youngchun KWON ,  Jinwoo PARK ,  Dongseon LEE ,  Youngmin NAM ,  Minsik PARK ,  Jiho YOO ,  Younsuk CHOI

IPC: G06N3/08 ,  G06N3/04

Abstract: An apparatus for optimizing experimental conditions by using a neural network may calculate a prediction yield and accuracy of the prediction yield by using a neural network-based experimental prediction model. The apparatus may optimize the experimental conditions by determining an experiment priority of a respective experiment condition combination based on the prediction yield and the prediction accuracy and receiving a feedback of results of experiments performed according to the experiment priority.

公开(公告)号：US20170099207A1

公开(公告)日：2017-04-06

申请号：US15251536

申请日：2016-08-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Dongseon LEE ,  Jinhan KIM

IPC: H04L12/26

CPC classification number: H04L43/14 ,  H04L41/0816 ,  H04L41/12

Abstract: A method for analyzing an interaction network includes: interpreting input data; and determining states of a plurality of nodes described to the input data based on information acquired by the interpretation of the input data, and updating a state of a system expressed as the interaction network based on the states of the nodes, in which at least one piece of information for describing the states of the nodes is arranged in series in the input data.