公开(公告)号：US20150314271A1

公开(公告)日：2015-11-05

申请号：US14490463

申请日：2014-09-18

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Sang Soo HAN ,  Hyungjun KIM ,  Dong-Hwa SEO ,  Hyeyoung SHIN

IPC: B01J23/52 ,  C01B3/00 ,  H01M4/92

CPC classification number: B01J23/52 ,  C01B3/00 ,  C01B3/0094 ,  C01B3/40 ,  C01B2203/0277 ,  C01B2203/1064 ,  H01M4/921 ,  Y02E60/327 ,  Y02E60/50 ,  Y02P20/52

Abstract: A hydrogen dissociation catalyst of the present invention includes an alloy in which two metals are intermingled with each other, the alloy being an Ir—Au alloy which is a functional alloy, and the hydrogen dissociation catalyst has an activity for a hydrogen oxidation reaction and may replace a platinum catalyst. Economic efficiency may be enhanced by using the hydrogen dissociation catalyst instead of the platinum catalyst.

Abstract translation: 本发明的氢解离催化剂包括其中两种金属彼此混合的合金，该合金是作为功能合金的Ir-Au合金，并且氢解离催化剂具有氢氧化反应的活性，并且可以 更换铂催化剂。 通过使用氢解离催化剂而不是铂催化剂可以提高经济效率。

公开(公告)号：US20190251459A1

公开(公告)日：2019-08-15

申请号：US16335235

申请日：2018-08-13

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Sang Soo HAN ,  Byung Chul YEO ,  Dong Hun KIM ,  Seung Chul KIM

IPC: G06N5/04 ,  G06N20/00 ,  G06F17/50 ,  G06F17/16

CPC classification number: G06N5/048 ,  G06F17/16 ,  G06F17/50 ,  G06F17/5009 ,  G06N20/00 ,  G06N99/00

Abstract: A method, performed by an electronic device, of predicting an electronic structure of a material includes: receiving input data of a user related to elements constituting the first material; applying the received input data to a trained model for estimating a density of state of the first material; and outputting a first graph indicating the density of state for each energy level of the first material output from the trained model, wherein the trained model is trained to generate the first graph based on pre-input data about a plurality of second materials composed of at least some of the elements constituting the first material and a plurality of second graphs representing the density of state for each energy level of the plurality of second materials.

公开(公告)号：US20190065968A1

公开(公告)日：2019-02-28

申请号：US15892774

申请日：2018-02-09

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Sang Soo HAN ,  Byung Chul YEO ,  Chansoo KIM ,  Donghun KIM

IPC: G06N5/04 ,  G06N99/00 ,  G06F17/16 ,  G06F17/30

Abstract: A method of predicting an electronic structure of a material by an electronic apparatus includes receiving user's input data about elements constituting the material; applying the received user's input data to a trained model for estimating a state density of the material; and outputting a first graph representing energy level-by-level state densities of the material output from the trained model, wherein the trained model is trained to generate the first graph based on a plurality of second graphs representing pre-calculated energy level-by-level state densities respectively corresponding to a plurality of pre-input data about elements of various materials and the plurality of pre-input data.

公开(公告)号：US20240426853A1

公开(公告)日：2024-12-26

申请号：US18475100

申请日：2023-09-26

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Sang Soo HAN ,  Donghun KIM ,  HYUK JUN YOO ,  NAYEON KIM ,  Seung Yong LEE

IPC: G01N35/00 ,  G06Q10/0633

Abstract: Provided is a modular experiment automation system including a main computer, a material synthesis module, and a material analysis module. The main computer interacts with a material synthesis module and a material analysis module. Upon a start request, it provides synthesis instructions for a target material. Once synthesis is complete, it instructs the analysis module to analyze the material. Based on the analysis results, if the error exceeds a threshold, it generates a new synthesis condition and re-initiates synthesis.

公开(公告)号：US20240378881A1

公开(公告)日：2024-11-14

申请号：US18334030

申请日：2023-06-13

Applicant: KOREA INSTITUTE OF SCIENCE AND TECHNOLOGY

Inventor： Donghun KIM ,  Sang Soo HAN ,  Leslie Tiong Ching OW ,  Hyukjun YOO ,  Nayeon KIM

IPC: G06V10/98 ,  G06V10/82

Abstract: There is provided a method and an apparatus for diagnosing an object placement error by using an artificial neural network by which feature data of the (N+1)-th stage among the feature data of a plurality of stages is generated by using any one feature data among a plurality of feature data generated in an operation process of a main network and feature data of the plurality of stages, and a placement error of at least one object is diagnosed by using an artificial neural network of a new structure, and thus, the diagnosis accuracy of a placement error of an object that is difficult to detect an edge, such as a transparent vial, may be greatly increased.

公开(公告)号：US20180193821A1

公开(公告)日：2018-07-12

申请号：US15726841

申请日：2017-10-06

Applicant: Korea Institute of Science and Technology

Inventor： Seung Yong LEE ,  Sang Soo HAN ,  Hyo Bin NAM ,  Kwan Young LEE ,  So Hye CHO ,  Ho Seong JANG

IPC: B01J23/46 ,  B01J23/50 ,  C01B15/029

CPC classification number: B01J23/464 ,  B01J23/50 ,  B01J35/0013 ,  B01J37/06 ,  B01J37/08 ,  B01J37/16 ,  C01B15/01 ,  C01B15/029

Abstract: Provided is a catalyst for synthesizing hydrogen peroxide as represented by the following Chemical Formula 1: RhxAg(1-x),  [Chemical Formula 1] where 0