公开(公告)号：US20190112324A1

公开(公告)日：2019-04-18

申请号：US16161559

申请日：2018-10-16

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

Inventor： Juhyun KIM ,  Wook KIM ,  Youngchun KWON ,  Sangmo KIM ,  Changho NOH ,  Minsik MIN ,  Sangho PARK ,  Hyejin BAE ,  Wonseok OH ,  Hasup LEE ,  Yongsik JUNG ,  Younsuk CHOI

IPC: C07F15/00 ,  H01L51/50 ,  H01L51/00

Abstract: An organometallic compound represented by Formula 1: M(L1)n1(L2)n2(L3)n3  Formula 1 wherein in Formula 1, M, L1, L2, L3, n1, n2, and n3 are the same as defined in the specification.

公开(公告)号：US20180002287A1

公开(公告)日：2018-01-04

申请号：US15632518

申请日：2017-06-26

Applicant: Samsung Electronics Co., Ltd.

Inventor： Hyun Sik CHAE ,  Kyungdoc KIM ,  Sae Youn LEE ,  Soonok JEON ,  Hiroshi MIYAZAKI ,  Masaki NUMATA ,  Youngmin NAM ,  Tae-Rae KIM ,  In Koo KIM ,  Won-Joon SON ,  Won Seok OH ,  Younsuk CHOI ,  Sunghan KIM ,  Jeong-Ju CHO

IPC: C07D213/22 ,  C09K11/06 ,  H01L51/00

CPC classification number: C07D213/22 ,  C09K11/06 ,  C09K2211/1007 ,  C09K2211/1011 ,  C09K2211/1029 ,  C09K2211/1033 ,  C09K2211/1037 ,  C09K2211/1044 ,  C09K2211/1092 ,  C09K2211/185 ,  H01L51/0054 ,  H01L51/0067 ,  H01L51/0071 ,  H01L51/0072 ,  H01L51/5012 ,  H01L51/5016

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.

公开(公告)号：US20160102282A1

公开(公告)日：2016-04-14

申请号：US14746799

申请日：2015-06-22

Applicant: Samsung Electronics Co., Ltd.

Inventor： Younsuk CHOI ,  Minseok KIM

IPC: C12M1/42

CPC classification number: C12M35/02 ,  C12M23/10 ,  C12M33/00

Abstract: An apparatus for applying an electric field includes: a base, on which an internal region is defined, a plurality of electrodes disposed to face each other in parallel in the internal region of the base, and a sample plate disposed between the plurality of electrodes.

Abstract translation: 一种施加电场的装置包括：基底，其上限定有内部区域，在基底的内部区域中平行配置的多个电极以及设置在多个电极之间的样品板。

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：US20220331772A1

公开(公告)日：2022-10-20

申请号：US17520238

申请日：2021-11-05

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sangyoon LEE ,  Jaejun CHANG ,  Byungkwon CHOI ,  Younsuk CHOI ,  Jinwoo PARK ,  Taesin HA

IPC: B01J19/00 ,  G05B13/04

Abstract: A material synthesis apparatus may include a synthesis device configured to perform a synthesis of a material of a target product; a communication interface configured to receive a first synthesis method of the target product, the first synthesis method being calculated by an external apparatus using a previously trained synthesis prediction model; and a processor configured to: determine first commands for synthesizing the target product based on the first synthesis method, schedule an order in which the first commands are executed, and control the synthesis device based on the scheduled order.

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：US20190220573A1

公开(公告)日：2019-07-18

申请号：US16156709

申请日：2018-10-10

Applicant: SAMSUNG ELECTRONICS CO., LTD. ,  RESEARCH & BUSINESS FOUNDATION SUNGKYUNKWAN UNIVERSITY

Inventor： Youngchun KWON ,  Seokho KANG ,  Kyungdoc KIM ,  Jiho YOO ,  Younsuk CHOI

IPC: G06F19/00 ,  G06N3/04 ,  G06N3/08

CPC classification number: G16C20/40 ,  G06N3/04 ,  G06N3/0445 ,  G06N3/0454 ,  G06N3/0472 ,  G06N3/08 ,  G06N3/126 ,  G16C20/50 ,  G16C20/70 ,  G16C20/80

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.

公开(公告)号：US20170092832A1

公开(公告)日：2017-03-30

申请号：US15197849

申请日：2016-06-30

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Eunkyung LEE ,  Byoung-Lyong CHOI ,  Hyosug LEE ,  Younsuk CHOI

IPC: H01L35/30

CPC classification number: H01L35/30

Abstract: An energy transfer structure includes an energy transfer material and a vacant space part provided in the energy transfer material where the vacant space part is provided through a region occupied with the energy transfer material or from a side of the region occupied with the energy transfer material toward an inside with a predetermined depth.